{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005652166,0.0008380453,0.0004277619,0.002896756,0.005748946,0.008827553,0.001588306,0.0008239858,0.04128103],"category_scores_gemma":[0.002248241,0.0003434224,0.0004526165,0.007084079,0.004899892,0.003092316,0.001120701,0.001401694,0.002513157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1173059,"about_ca_system_score_gemma":0.09445688,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9978575,"about_ca_topic_score_gemma":0.9986765,"domain_scores_codex":[0.9990543,0.00008387771,0.00002613117,0.000177841,0.0004154833,0.0002424611],"domain_scores_gemma":[0.9985676,0.0001174978,0.00008361186,0.00007683828,0.0009368165,0.0002176168],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001211098,0.00003561889,0.03019232,0.0006514748,0.00007704114,0.0004482736,0.007092565,0.002889638,0.001505593,0.4426224,0.3196656,0.1946983],"study_design_scores_gemma":[0.00001356622,0.00001451235,0.05697183,0.0004954159,0.0000329787,0.0001312378,0.006277722,0.001525462,0.0004261895,0.009541125,0.9244857,0.00008411149],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.07745863,0.04154808,0.01868042,0.08093222,0.001543066,0.0001792432,0.01535958,0.001177216,0.7631217],"genre_scores_gemma":[0.5128931,0.0297296,0.0187707,0.005060617,0.0002568773,0.0001603115,0.004979708,0.0005596949,0.4275895],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1173059,"threshold_uncertainty_score":0.8511178,"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."}}