{"id":"W7062521538","doi":"","title":"Toronto Banks : Imperial Bank : St. Clair &amp; Runnymede Branch","year":2011,"lang":"fr","type":"other","venue":"York University Digital Library (York University)","topic":"Particle accelerators and beam dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Payment; Debt","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","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00004184049,0.001168763,0.001004457,0.0005916392,0.0004811122,0.0005402541,0.002072394,0.001339174,0.0528586],"category_scores_gemma":[0.00001223441,0.001563224,0.0007093773,0.001246834,0.0005023621,0.005654719,0.001041524,0.0008062242,0.002361734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001299505,"about_ca_system_score_gemma":0.0005378779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001270878,"about_ca_topic_score_gemma":0.003844972,"domain_scores_codex":[0.9964613,0.0001376611,0.0003887002,0.001153865,0.0003942495,0.001464176],"domain_scores_gemma":[0.997402,0.0001243252,0.0002770676,0.00108475,0.00005052917,0.001061403],"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":[0.002003895,0.001616478,0.0282275,0.0009007468,0.003246244,0.002660736,0.003512489,0.001007425,0.0003357184,0.1991455,0.7027878,0.05455551],"study_design_scores_gemma":[0.001743845,0.0001685605,0.001242882,0.0002817365,0.0003242563,0.00002167187,0.00107494,0.0001881913,0.00006479958,0.00025791,0.9929039,0.001727236],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.07002044,0.001029778,0.00149822,0.0001054711,0.001898439,0.0005914539,0.004452324,0.001473172,0.9189307],"genre_scores_gemma":[0.1163692,0.0008655702,0.00170658,0.00006309606,0.000874295,2.811879e-7,0.001717525,0.0004806845,0.8779228],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2901162,"threshold_uncertainty_score":0.9999573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009712783764022412,"score_gpt":0.1556009174320388,"score_spread":0.1458881336680164,"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."}}