{"id":"W7104047595","doi":"10.58079/153it","title":"Soutenance de thèse : Tristan Loubes, \"L'envers de la motorisation urbaine, Montréal, Toulouse, Toronto et Marseille, 1910s-1980s\", 17 novembre 2025","year":2025,"lang":"","type":"article","venue":"OpenEdition (OpenEdition)","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Population; Context (archaeology); Government (linguistics); Identity (music)","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","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.003222517,0.0006825215,0.0008327304,0.0007054525,0.003908726,0.002974334,0.001179582,0.001040633,0.01143126],"category_scores_gemma":[0.0008360429,0.0009575502,0.000540803,0.001393668,0.0014906,0.01382436,0.0002410334,0.0008603248,0.000606373],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.01314694,"about_ca_system_score_gemma":0.008612679,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5870537,"about_ca_topic_score_gemma":0.9342063,"domain_scores_codex":[0.9932604,0.001663235,0.0012304,0.001260643,0.001216706,0.001368598],"domain_scores_gemma":[0.9962094,0.0007550704,0.000725159,0.0009156923,0.000514736,0.000879987],"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":[0.0002672549,0.0004629079,0.0001435172,0.0001459799,0.0001633496,0.00009915954,0.003975672,0.0003830263,0.00009625727,0.3686511,0.6210124,0.004599327],"study_design_scores_gemma":[0.002415679,0.0001948651,0.01869757,0.0005290527,0.0003267405,0.00001355615,0.005934219,0.0003667843,0.00004132629,0.008504906,0.9620465,0.0009288053],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.006520719,0.03078502,0.01405881,0.133322,0.01156789,0.004200391,0.004342021,0.0005698014,0.7946333],"genre_scores_gemma":[0.46687,0.0523948,0.002402551,0.1095432,0.004051035,0.001527942,0.001899554,0.0002140914,0.3610968],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.4603493,"threshold_uncertainty_score":0.9999688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006950031891351455,"score_gpt":0.2458124134718596,"score_spread":0.2388623815805082,"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."}}