{"meta":{"query_hash":"6e75e769cbbf","filters":{"venue":"Journal of the Indian Society of Coastal Agricultural Research"},"cohort_total":1,"direct_labels_cover":0,"predictions_cover":1,"exported":1,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/6e75e769cbbf","api":"https://metacan.xera.ac/api/v1/cohort?venue=Journal+of+the+Indian+Society+of+Coastal+Agricultural+Research"},"results":[{"id":"W3164523253","doi":"","title":"Conceptual Framework for Groundwater Vulnerability Assessment Using Physical, Experimental and Machine Learning Based Approaches in Coastal Aquifers of India","year":2020,"lang":"en","type":"article","venue":"Journal of the Indian Society of Coastal Agricultural Research","topic":"Hydrological Forecasting Using AI","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Aquifer; Saltwater intrusion; Groundwater recharge; Groundwater; Vulnerability (computing); Environmental science; Water resource management; Hydrology (agriculture); Geology; Computer science; Geotechnical engineering","score_opus":0.1491710075609776,"score_gpt":0.3553649619234787,"score_spread":0.20619395436250113,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3164523253","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.046316706,0.0010948848,0.92195886,0.0020495297,0.00007140894,0.00040032956,0.0006864624,0.00031508066,0.02710672],"genre_scores_gemma":[0.799775,0.0015678562,0.19427249,0.00017163093,0.000050857732,0.0009188398,0.00036899094,0.000028618555,0.0028457558],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99953043,0.00017671897,0.000044833592,0.00008525124,0.00012172874,0.000041030187],"domain_scores_gemma":[0.9994223,0.00022459736,0.000110401874,0.00004511412,0.00016202817,0.000035564703],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010989791,0.0006566716,0.00045499983,0.002076564,0.00061845104,0.0019805555,0.0022754234,0.0010625301,0.00192234],"category_scores_gemma":[0.0012591436,0.0003236274,0.0008176878,0.0014016024,0.0022275788,0.0015285179,0.0014829725,0.0007032238,0.00014867877],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019377581,0.00010746752,0.0040856684,0.0002946544,0.000048199232,0.0003265377,0.0003017973,0.6331165,0.002876999,0.34168902,0.0006630875,0.0164707],"study_design_scores_gemma":[0.000015219281,0.00009303027,0.002022957,0.00008529483,0.000035165336,0.000099644,0.00048535477,0.86689955,0.0008400254,0.1253596,0.004017628,0.00004660881],"about_ca_topic_score_codex":0.01494606,"about_ca_topic_score_gemma":0.00941898,"teacher_disagreement_score":0.01494606,"about_ca_system_score_codex":0.0023921384,"about_ca_system_score_gemma":0.0025511454,"threshold_uncertainty_score":0.02971816},"labels":[],"label_agreement":null}]}