{"id":"W6992322873","doi":"","title":"Le périmètre métropolitain du Grand Montréal, son évolution, son encadrement et ses potentialités : le cas de la Couronne Nord","year":2013,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Demotion; Government (linguistics); Headline","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0009763039,0.0003482767,0.0001893018,0.0004101438,0.01227246,0.008788612,0.0007120767,0.001433334,0.01242008],"category_scores_gemma":[0.001295705,0.0002635507,0.0003034729,0.0008040595,0.01155015,0.003228805,0.003594352,0.003176419,0.0008499366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02035193,"about_ca_system_score_gemma":0.0201766,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6208956,"about_ca_topic_score_gemma":0.8242715,"domain_scores_codex":[0.99888,0.0003891974,0.00001207142,0.0001525479,0.0002099151,0.0003563438],"domain_scores_gemma":[0.9994218,0.0001185043,0.00005598404,0.00004424181,0.0001429189,0.0002164488],"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":[0.00006105931,0.00003086952,0.005146232,0.0000562118,0.000009197019,0.001322517,0.1813858,0.0006615428,0.0006039771,0.7794226,0.0162735,0.0150266],"study_design_scores_gemma":[0.00001433613,0.00004019829,0.01385096,0.0002466938,0.00001172532,0.0003170092,0.2090261,0.0008375546,0.0006550316,0.03814448,0.7368019,0.00005417458],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.2687666,0.001553239,0.004925195,0.023509,0.0002164776,0.00004196107,0.0001463563,0.0000655131,0.7007756],"genre_scores_gemma":[0.8188012,0.0006929436,0.001658668,0.0009083532,0.00002349007,0.00003704042,0.00007235666,0.0001034946,0.1777024],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3791044,"threshold_uncertainty_score":0.7626741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002759514203168854,"score_gpt":0.1598101207475178,"score_spread":0.1570506065443489,"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."}}