{"id":"W2308858456","doi":"","title":"À Montréal, quand l’image rôde","year":2013,"lang":"fr","type":"article","venue":"Urbanisme","topic":"French Urban and Social Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Image (mathematics); Computer science; Computer vision","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":[0.000641062,0.001001688,0.0005116052,0.001203805,0.01013943,0.005732967,0.001064739,0.002294655,0.1174003],"category_scores_gemma":[0.002148119,0.0004297921,0.0007017202,0.001861222,0.002666673,0.001721577,0.001387883,0.003612857,0.006721706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02796521,"about_ca_system_score_gemma":0.01649713,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8665035,"about_ca_topic_score_gemma":0.9554383,"domain_scores_codex":[0.999087,0.000167654,0.0000179172,0.0001805927,0.0003064474,0.0002405021],"domain_scores_gemma":[0.9992777,0.0001178524,0.00004590015,0.00005575125,0.0003240349,0.000178924],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003295533,0.0000992183,0.007718259,0.0004442553,0.0001279851,0.002024233,0.005772401,0.0007286633,0.003368048,0.2826878,0.5823029,0.1143967],"study_design_scores_gemma":[0.00001551797,0.00001699188,0.01089813,0.00006653403,0.000007525267,0.0001314726,0.001103154,0.00007766193,0.0002715095,0.001442943,0.9859434,0.00002503581],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04218588,0.03878153,0.003507642,0.1411377,0.01003047,0.0001279556,0.004641246,0.000810313,0.7587773],"genre_scores_gemma":[0.1295796,0.004585153,0.001695054,0.004376045,0.0009029738,0.00005555036,0.0005206877,0.0002007322,0.8580843],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1334965,"threshold_uncertainty_score":0.3927432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03427948809717898,"score_gpt":0.2303686607009286,"score_spread":0.1960891726037496,"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."}}