{"id":"W7096655544","doi":"","title":"Capelin Stock Assessment in NAFO Divisions 3NO Based on Data from Trawl Surveys","year":2009,"lang":"en","type":"article","venue":"","topic":"Soviet and Russian History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Capelin; Stock (firearms); Stock assessment; Fishing; Bycatch","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":[0.0002772942,0.0002589982,0.0001282319,0.0020514,0.0002956046,0.0004425734,0.0002222065,0.00009608418,0.001185947],"category_scores_gemma":[0.0009060865,0.0001174537,0.0001519943,0.001480954,0.0001405517,0.0002981102,0.0003338092,0.0001165358,0.0001387839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001315945,"about_ca_system_score_gemma":0.0008072124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.207883,"about_ca_topic_score_gemma":0.3876664,"domain_scores_codex":[0.9998335,0.00001766171,0.00002233893,0.00002550967,0.00006682224,0.00003422065],"domain_scores_gemma":[0.9995393,0.00004082033,0.0001964197,0.00002402956,0.0001469908,0.00005248798],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008684231,0.00001166435,0.9809361,0.00003354372,0.0000369863,0.0002828094,0.0005039868,0.0004803374,0.001880136,0.0001454984,0.000428628,0.01517358],"study_design_scores_gemma":[0.000002576429,0.00002126465,0.9975171,0.0000238599,0.00001368185,0.0000746545,0.0004428021,0.0006754441,0.0002485901,0.00001549233,0.0009607213,0.000003841439],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964535,0.0001463283,0.0001148552,0.00002113183,0.000002781577,0.00002639898,0.0007633351,0.000003379591,0.00246841],"genre_scores_gemma":[0.9960248,0.0002564384,0.000802949,0.000009608167,0.000003453676,0.00003429187,0.001417623,0.000002571272,0.001448173],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.207883,"threshold_uncertainty_score":0.4133459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09936830577979577,"score_gpt":0.3942499755044898,"score_spread":0.294881669724694,"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."}}