{"id":"W2887802723","doi":"10.1080/14634988.2018.1505355","title":"The state of Toronto and Region’s ecosystem: Synthesis and highlights","year":2018,"lang":"en","type":"article","venue":"Aquatic Ecosystem Health & Management","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Fisheries and Oceans Canada","funders":"","keywords":"Wildlife; Fishery; Geography; Habitat; Ecology; Environmental science; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002540617,0.0009645646,0.001026268,0.009772269,0.001375945,0.004438337,0.001063765,0.0006336845,0.008959848],"category_scores_gemma":[0.008022343,0.0003692329,0.001195453,0.02666389,0.001246621,0.00187385,0.002703159,0.00120285,0.0006388227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.038365,"about_ca_system_score_gemma":0.04905247,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.935228,"about_ca_topic_score_gemma":0.9732817,"domain_scores_codex":[0.9983015,0.0002390027,0.0002284291,0.0002243074,0.0007032423,0.0003036052],"domain_scores_gemma":[0.9908006,0.002449298,0.001163059,0.0003750683,0.004490602,0.0007213284],"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":[0.0002823996,0.00005417456,0.11931,0.1040793,0.001994461,0.000925474,0.01899738,0.004086749,0.000837323,0.02762011,0.4573919,0.2644208],"study_design_scores_gemma":[0.00001621384,0.00004573702,0.3731346,0.03113716,0.001178956,0.0002292971,0.015153,0.0006299515,0.0002386848,0.001830458,0.5763062,0.00009975031],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.04788059,0.7331628,0.001469382,0.02568983,0.005086928,0.0003168315,0.1367981,0.0001942316,0.04940135],"genre_scores_gemma":[0.3747205,0.5577288,0.003660206,0.005196368,0.00268188,0.0003787511,0.04574356,0.0001431496,0.009746716],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06477201,"threshold_uncertainty_score":0.2783589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01028338980344388,"score_gpt":0.2288956214990859,"score_spread":0.218612231695642,"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."}}