{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002602544,0.0002702904,0.0003697578,0.00004069097,0.0009947272,0.000267277,0.0003325691,0.0002751717,0.006559797],"category_scores_gemma":[0.0001689255,0.0002746801,0.0002093016,0.0003810665,0.001377981,0.000612112,0.0001090019,0.0002729775,0.01450656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003765513,"about_ca_system_score_gemma":0.00009896611,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.174226,"about_ca_topic_score_gemma":0.01054356,"domain_scores_codex":[0.9977698,0.0002157043,0.0003213737,0.000358113,0.0004918271,0.0008432035],"domain_scores_gemma":[0.9989721,0.0001754364,0.0001238051,0.000228073,0.0001846232,0.0003159624],"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":[0.000001307311,0.0001049156,0.0003639014,0.00001923224,0.00005994777,0.00001175275,0.01487914,0.000001129993,0.000065215,0.2255355,0.7487813,0.0101767],"study_design_scores_gemma":[0.0002652455,0.00008326802,0.003687784,0.00003067477,0.00004140915,0.000001034563,0.005333862,0.0001285311,0.0000175642,0.04240709,0.9476535,0.0003500761],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01693304,0.2398462,0.0002794078,0.06090846,0.006016213,0.0006217755,0.0000276773,0.0001845135,0.6751828],"genre_scores_gemma":[0.2982212,0.01405158,0.001974419,0.002464481,0.004149399,0.0001080195,0.000006333548,0.00005438497,0.6789702],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2812881,"threshold_uncertainty_score":0.9999706,"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."}}