{"id":"W2973226049","doi":"10.7202/1063106ar","title":"Espaces de cotravail, mobilité et insertion en milieu urbain à Montréal","year":2019,"lang":"fr","type":"article","venue":"Cahiers de géographie du Québec","topic":"Social Sciences and Governance","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Humanities; Political science; Art","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":[0.0004891465,0.0002647798,0.0001813187,0.00118298,0.004442661,0.002304615,0.0007532922,0.0002996563,0.008080343],"category_scores_gemma":[0.001457095,0.0001889531,0.0001658812,0.002670707,0.002215725,0.0006114361,0.001694843,0.0004126804,0.0003019296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02209196,"about_ca_system_score_gemma":0.01393709,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9728516,"about_ca_topic_score_gemma":0.9921774,"domain_scores_codex":[0.9993517,0.0001190808,0.00001310371,0.0001107281,0.000126678,0.0002788181],"domain_scores_gemma":[0.9987488,0.000177254,0.0002111951,0.00005488046,0.0004239744,0.0003839161],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002001033,0.000101056,0.6310006,0.0002241627,0.0000622177,0.001663999,0.1992629,0.001323484,0.007993416,0.01566498,0.005319398,0.1371836],"study_design_scores_gemma":[0.000004950549,0.00005154642,0.8777144,0.00007382366,0.00001555354,0.00008603709,0.08463853,0.0003734679,0.0005228582,0.0001837868,0.03630123,0.00003373579],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9802539,0.0005010876,0.0004501102,0.0005375718,0.00001051095,0.00004198164,0.0003389005,0.00002016496,0.01784582],"genre_scores_gemma":[0.9893844,0.0002149909,0.0003173696,0.00004090503,0.000002524137,0.00001436128,0.00009281879,0.000007029155,0.009925653],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02714843,"threshold_uncertainty_score":0.1602892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00546078282928869,"score_gpt":0.2254515202947122,"score_spread":0.2199907374654235,"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."}}