{"id":"W7067494790","doi":"","title":"Marine fish landings of India during the&#13;\\nfirst quarter of 2008","year":2008,"lang":"en","type":"article","venue":"Eprints@CMFRI Open Access Institutional Repository (Central Marine Fisheries Research Institute)","topic":"Mathematical Inequalities and Applications","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Fish <Actinopterygii>; Marine fish; Fishing; Lakh","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007386885,0.0001721489,0.0001122605,0.001267952,0.000263204,0.0004806217,0.000273982,0.0001054914,0.002998032],"category_scores_gemma":[0.0003173856,0.0001096991,0.0001675848,0.001684381,0.000148169,0.0002083816,0.0003343924,0.0002342608,0.0008928095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006665273,"about_ca_system_score_gemma":0.0004898956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09662912,"about_ca_topic_score_gemma":0.185248,"domain_scores_codex":[0.9998522,0.000008770418,0.00001152173,0.00002727626,0.0000416976,0.00005848739],"domain_scores_gemma":[0.9997552,0.00001916466,0.0001177063,0.000009806195,0.00006770799,0.0000304012],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003254974,0.00004399197,0.8700632,0.00032769,0.0001417733,0.001305764,0.001982406,0.001334119,0.002955425,0.00151493,0.06764992,0.0523553],"study_design_scores_gemma":[0.000002053932,0.00001648747,0.991002,0.00002243945,0.00001477799,0.0002872685,0.001078691,0.0002218627,0.0002924713,0.00004075656,0.007010137,0.0000110925],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9576492,0.0004327474,0.0001244102,0.0005214598,0.00006152578,0.00000792897,0.0261292,0.00007401521,0.01499947],"genre_scores_gemma":[0.9799202,0.0008741757,0.0001694256,0.00009397753,0.00001854389,0.000009095781,0.01018628,0.00001021842,0.008718008],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09662912,"threshold_uncertainty_score":0.1921334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1847370744896516,"score_gpt":0.416512386866258,"score_spread":0.2317753123766064,"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."}}