{"id":"W4388865288","doi":"10.1080/07011784.2023.2283241","title":"Six decades of research on river temperature in Canada","year":2023,"lang":"en","type":"article","venue":"Canadian Water Resources Journal / Revue canadienne des ressources hydriques","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Geography; Environmental science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.002011663,0.0004682044,0.0008329016,0.004848144,0.004306244,0.00401905,0.0009601255,0.0008030097,0.00545404],"category_scores_gemma":[0.006027886,0.0004241645,0.0006181977,0.01720811,0.002514964,0.001393131,0.001507578,0.002179748,0.0005191352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06411844,"about_ca_system_score_gemma":0.09727356,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9917961,"about_ca_topic_score_gemma":0.9957439,"domain_scores_codex":[0.997826,0.0001462816,0.0001935493,0.0004519908,0.001049529,0.0003326178],"domain_scores_gemma":[0.9912605,0.001087984,0.0004202385,0.0001972703,0.006505939,0.0005281947],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000194307,0.00005966399,0.1001836,0.004704098,0.0003263367,0.0002700195,0.009077216,0.002258065,0.001116775,0.0302518,0.07351238,0.7780458],"study_design_scores_gemma":[0.000009469425,0.00004548303,0.4285432,0.006634361,0.0001734375,0.0001660595,0.007332581,0.0005915995,0.0006995189,0.002104981,0.5535493,0.0001499058],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1095296,0.6562131,0.004843436,0.04426611,0.004136777,0.0001243809,0.01648695,0.0002232982,0.1641763],"genre_scores_gemma":[0.3970199,0.5499517,0.004556764,0.007649986,0.0007899506,0.000100078,0.006670951,0.0001511187,0.03310958],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06411844,"threshold_uncertainty_score":0.4652141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02229251214600243,"score_gpt":0.2383941911390763,"score_spread":0.2161016789930739,"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."}}