{"id":"W6983023213","doi":"","title":"Le bois urbain du grand Montréal, un espace changeant et ambigu","year":2023,"lang":"fr","type":"article","venue":"Érudit (Université de Montréal)","topic":"Census and Population Estimation","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Identity (music); Product (mathematics); Identification (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":[0.0009340749,0.0009076267,0.000523779,0.001460946,0.005309051,0.004778899,0.001204078,0.001238938,0.01704198],"category_scores_gemma":[0.003034472,0.0004025472,0.0004285909,0.004141891,0.00302993,0.001835224,0.001187126,0.003107037,0.0008923699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03082612,"about_ca_system_score_gemma":0.02297949,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9674069,"about_ca_topic_score_gemma":0.9771005,"domain_scores_codex":[0.9989462,0.0002850564,0.00002309309,0.0002387651,0.0002835952,0.000223323],"domain_scores_gemma":[0.9993244,0.0002092562,0.00006608217,0.00004614177,0.0002484652,0.000105604],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002322367,0.00005177292,0.02857361,0.0005009476,0.0001704662,0.003206539,0.01351291,0.003745402,0.00204755,0.6400156,0.1196421,0.1883009],"study_design_scores_gemma":[0.00002876541,0.00002133828,0.06728707,0.0003288678,0.00004041671,0.0005945528,0.006318504,0.001135077,0.0007240266,0.01020966,0.913228,0.00008369963],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2182911,0.07524323,0.02628076,0.1039817,0.00499496,0.000164383,0.008424491,0.0007052287,0.5619141],"genre_scores_gemma":[0.7140273,0.0166018,0.009631542,0.003402621,0.0006973717,0.00008807293,0.001509538,0.0002587336,0.253783],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03259307,"threshold_uncertainty_score":0.2236602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0146724045030149,"score_gpt":0.2013815099541857,"score_spread":0.1867091054511708,"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."}}