{"id":"W3135230724","doi":"10.1111/cag.12680","title":"« Améliorer » les ruisseaux? Les rapports des citoyens aux cours d'eau à Sudbury, 1892‐1956","year":2021,"lang":"fr","type":"article","venue":"Canadian Geographies / Géographies canadiennes","topic":"American Environmental and Regional History","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Laurentian University","funders":"","keywords":"Humanities; Art; Political science","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001100915,0.0002590409,0.0001964975,0.0006378547,0.01285919,0.004071118,0.0005505442,0.0007410471,0.01007841],"category_scores_gemma":[0.001592156,0.0002274286,0.0001067204,0.001412101,0.004448445,0.001475595,0.002149693,0.001571183,0.000488765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01502538,"about_ca_system_score_gemma":0.014656,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5611686,"about_ca_topic_score_gemma":0.8681082,"domain_scores_codex":[0.9991401,0.0002484947,0.00001703499,0.00009179174,0.0001445819,0.0003579027],"domain_scores_gemma":[0.9995348,0.0001159439,0.00007233568,0.00002719595,0.0001390307,0.0001107015],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001319055,0.00006300834,0.03250568,0.000314391,0.0000207429,0.002730931,0.6543264,0.0003635382,0.004078593,0.1308515,0.02999579,0.1446176],"study_design_scores_gemma":[0.000006684517,0.00005846562,0.06552986,0.0002824974,0.00001673286,0.0002554466,0.1941583,0.00006608856,0.001165818,0.001394018,0.7370309,0.00003527315],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7398778,0.01061492,0.0008760917,0.01177358,0.0004309558,0.0000511117,0.0002850026,0.00003467052,0.2360559],"genre_scores_gemma":[0.8861926,0.003160504,0.0006825249,0.0005003529,0.00004129333,0.00002317479,0.00008327532,0.00001874112,0.1092976],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4388314,"threshold_uncertainty_score":0.8828315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01105042635584032,"score_gpt":0.1937538766309789,"score_spread":0.1827034502751385,"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."}}