{"id":"W7095560066","doi":"","title":"THE STATE OF THE LAKE ONTARIO FISH COMMUNITY IN 1989","year":2012,"lang":"en","type":"article","venue":"","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Fish <Actinopterygii>; State (computer science); Fishing; Aquatic animal; Population","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":[0.0003787966,0.0001052158,0.0001524313,0.001836183,0.001451403,0.001080582,0.0004765477,0.000304903,0.003748082],"category_scores_gemma":[0.001498538,0.0002162474,0.0001547851,0.004267598,0.0005073113,0.0005083513,0.0007522395,0.0003204583,0.0005104454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01807613,"about_ca_system_score_gemma":0.01369323,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9656044,"about_ca_topic_score_gemma":0.9949208,"domain_scores_codex":[0.9995478,0.00002300122,0.00003228501,0.00004285382,0.000174173,0.0001798843],"domain_scores_gemma":[0.9988042,0.00005576024,0.000290375,0.00002799531,0.0006064639,0.0002152638],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001978054,0.00003208466,0.9277739,0.0002484791,0.00005945566,0.0003411972,0.007234114,0.000231436,0.0004539745,0.002186684,0.02664259,0.0345983],"study_design_scores_gemma":[0.000002316529,0.000004783708,0.9709839,0.0000270349,0.000007324007,0.00002464365,0.001216181,0.00004716697,0.0000557218,0.00003165989,0.02759529,0.000003807941],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8954912,0.003543102,0.0002841685,0.002290058,0.00008698888,0.00008298707,0.05267606,0.00003651235,0.04550885],"genre_scores_gemma":[0.9149182,0.002393177,0.00050929,0.0002681342,0.00003612839,0.00006621071,0.01680203,0.00001250774,0.06499431],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03439564,"threshold_uncertainty_score":0.1311522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02624409048843445,"score_gpt":0.242663901769732,"score_spread":0.2164198112812975,"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."}}