{"id":"W6912485023","doi":"10.5281/zenodo.4306889","title":"Montréal, le Québec, le Canada : numérique à quel point ?","year":2020,"lang":"fr","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Smart Cities and Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Disinformation; Publics","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001669088,0.0002215715,0.000222564,0.00007825637,0.001347833,0.0004525761,0.0009129352,0.0001225336,0.005303606],"category_scores_gemma":[0.0005824415,0.000273541,0.00006352981,0.000466222,0.0001684094,0.000276747,0.001037585,0.0005121442,0.002901262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005054831,"about_ca_system_score_gemma":0.00008190372,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7575556,"about_ca_topic_score_gemma":0.09068114,"domain_scores_codex":[0.998403,0.0001290134,0.0002945871,0.0003690128,0.0002741104,0.0005302852],"domain_scores_gemma":[0.9989806,0.00002727364,0.00006265684,0.0004011005,0.0002537766,0.0002745549],"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":[0.00001823413,0.00004195772,0.000003428602,0.000208731,0.00008012609,0.0000840201,0.001476497,0.002972308,0.001129039,0.02476049,0.9344708,0.03475434],"study_design_scores_gemma":[0.000392109,0.0001182023,0.00009638534,0.00004293982,0.000007191771,0.00007000041,0.005578254,0.005309192,0.001774792,0.0001951497,0.9861356,0.0002801658],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.02585704,0.03324765,0.02927656,0.549345,0.00120247,0.001198634,0.001288744,0.007672343,0.3509116],"genre_scores_gemma":[0.9895855,0.00157618,0.0005358442,0.0007967507,0.0003959426,8.824151e-8,0.0004130701,0.002604312,0.004092315],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9637284,"threshold_uncertainty_score":0.9999717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01765102259257363,"score_gpt":0.1765946343920106,"score_spread":0.1589436117994369,"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."}}