{"id":"W3132661408","doi":"10.4095/327585","title":"Groundwater Information Network: GIN","year":2021,"lang":"en","type":"report","venue":"","topic":"Advanced Computational Techniques and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Groundwater; Water resource management; Hydrology (agriculture); Environmental science; Geology; Geotechnical engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023054,0.0001656487,0.0001905568,0.00007257288,0.0001151526,0.0003118975,0.0006107402,0.0001483127,0.00007771357],"category_scores_gemma":[0.00001813088,0.0001489952,0.0001004139,0.0003731625,0.00001421123,0.0008663479,0.0004403444,0.000213692,0.0001168806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001606795,"about_ca_system_score_gemma":0.0005903324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003485623,"about_ca_topic_score_gemma":0.000005342503,"domain_scores_codex":[0.9985495,0.00001503633,0.0003792107,0.0002565497,0.0005777056,0.0002219708],"domain_scores_gemma":[0.9984175,0.00004160573,0.0002071035,0.0005859425,0.0006924514,0.00005538648],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[2.757915e-7,0.0000221844,0.000006432671,0.00003614552,0.0000216166,0.000004818101,0.00002510179,0.002550605,0.000001234911,0.4397879,0.4038696,0.1536741],"study_design_scores_gemma":[0.0000281262,0.00001100781,0.00008227737,0.00003227425,0.000003899429,0.00006078017,0.000001632497,0.008204454,0.00003221908,0.03570411,0.9556465,0.0001927216],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[9.225296e-7,0.0001017732,0.7641856,0.0007323403,0.0003410441,0.0001465184,0.000002364869,0.0003931415,0.2340963],"genre_scores_gemma":[0.001548495,0.0006860413,0.9785893,0.00174616,0.000644803,0.000230429,0.0006443298,0.00001598404,0.01589447],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.5517769,"threshold_uncertainty_score":0.6075848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03370652664334479,"score_gpt":0.3099191052967995,"score_spread":0.2762125786534547,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}