{"id":"W4220858960","doi":"10.1186/s42269-022-00740-0","title":"Assessment of wetland potential and bibliometric review: a critical analysis of the Ramsar sites of India","year":2022,"lang":"en","type":"article","venue":"Bulletin of the National Research Centre/Bulletin of the National Research Center","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Jadavpur University","keywords":"Wetland; Ramsar site; Geography; Context (archaeology); Period (music); Ecology; Archaeology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["bibliometrics"],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":["bibliometrics"],"domain":null,"study_design":"design_other","genre":"review","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.02360146,0.0001706047,0.0004565475,0.003962643,0.0005503695,0.00002931553,0.002247033,0.00007167694,0.01523524],"category_scores_gemma":[0.0148277,0.0001058351,0.0004991086,0.01791098,0.002028957,0.00003637699,0.005783523,0.0008839205,0.00001130892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007804047,"about_ca_system_score_gemma":0.0003774137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006607157,"about_ca_topic_score_gemma":0.00003276148,"domain_scores_codex":[0.9740923,0.003364819,0.0009425296,0.0004540735,0.02061846,0.0005278219],"domain_scores_gemma":[0.9922311,0.003537116,0.0005367214,0.0004667593,0.00311819,0.0001100755],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002375005,0.002465354,0.1363379,0.0007570231,0.0008621028,0.000001076283,0.0001014269,0.004237133,0.007633972,0.01051422,0.8363467,0.0005055706],"study_design_scores_gemma":[0.001025541,0.0001832198,0.7523589,0.0003024075,0.0001733008,0.000002618375,0.0001739807,0.00149099,0.001940543,0.001477532,0.2407412,0.0001297096],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5580239,0.005301616,0.00004750622,0.3046924,0.0006250352,0.007385052,0.003705802,0.00001923074,0.1201995],"genre_scores_gemma":[0.9949613,0.001454824,0.0004539141,0.0003121367,0.00003168965,0.00006259112,0.00002102588,0.00001457813,0.002687939],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.616021,"threshold_uncertainty_score":0.9934708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05584845189360171,"score_gpt":0.4049330084756946,"score_spread":0.3490845565820929,"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."}}