{"id":"W3199065020","doi":"10.14321/j.ctt1mtz6pt.17","title":"Fish-community dynamics of Lake Ontario:","year":2003,"lang":"en","type":"book-chapter","venue":"Michigan State University Press eBooks","topic":"Ecology and biodiversity studies","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Fish <Actinopterygii>; Fishery; Geography; Ecology; Environmental science; Biology","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":[0.0001368294,0.0002140838,0.0001315189,0.0006750318,0.002460668,0.001326863,0.000485774,0.0003091791,0.005627241],"category_scores_gemma":[0.0003385573,0.0002902629,0.0001617098,0.002193077,0.0007475569,0.0007497364,0.0006240449,0.0002563943,0.0004248615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0217484,"about_ca_system_score_gemma":0.02138362,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9855008,"about_ca_topic_score_gemma":0.9983566,"domain_scores_codex":[0.9998783,0.000005410855,0.00000408608,0.00001544308,0.00006270087,0.00003408308],"domain_scores_gemma":[0.9998289,0.00000794593,0.0000237641,0.000003805103,0.00008512344,0.00005047011],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002291304,0.0000643231,0.5189633,0.0008814905,0.0001212024,0.001038042,0.05218459,0.003714835,0.006358461,0.02179957,0.1063266,0.2883184],"study_design_scores_gemma":[0.00000654701,0.00001776508,0.8179954,0.00008128116,0.0000303824,0.0001402279,0.006298301,0.001186672,0.0003535504,0.001266456,0.1725996,0.0000239027],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8514954,0.01317141,0.001997626,0.007557177,0.0001060354,0.00008544815,0.006408312,0.0001485122,0.1190301],"genre_scores_gemma":[0.8202374,0.00730442,0.001996036,0.0002103924,0.0000367077,0.00004240564,0.001421686,0.00004997015,0.1687011],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0217484,"threshold_uncertainty_score":0.1577965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708872067829786,"score_gpt":0.1671108318740772,"score_spread":0.1500221111957794,"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."}}