{"id":"W7055017174","doi":"","title":"BIXI : portrait objectif de 6 années d'utilisation à Montréal","year":2015,"lang":"fr","type":"other","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Advanced Frequency and Time Standards","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Portrait; Object (grammar); Face (sociological concept); Feature (linguistics)","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":[0.001371755,0.0008851881,0.0003863174,0.003010359,0.005297285,0.005298325,0.001539913,0.001527532,0.1702594],"category_scores_gemma":[0.002714139,0.0004510229,0.0007816506,0.00494647,0.001046343,0.001286846,0.002368054,0.002136075,0.02888087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01436105,"about_ca_system_score_gemma":0.0239837,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.899433,"about_ca_topic_score_gemma":0.9372962,"domain_scores_codex":[0.9983536,0.0001174001,0.00005492356,0.0001898345,0.0007644373,0.0005199449],"domain_scores_gemma":[0.9983066,0.0001078354,0.00008226424,0.0000819959,0.00096719,0.0004540889],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.000192704,0.00003392965,0.004494034,0.0003444744,0.0000220364,0.0007044508,0.002433055,0.0002950174,0.001133404,0.02814357,0.8746182,0.08758521],"study_design_scores_gemma":[0.000005381552,0.000007280546,0.005787618,0.00005310222,0.000003377409,0.00004152128,0.0002566285,0.00002285223,0.0001231822,0.000129607,0.9935573,0.0000121707],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01476664,0.01079512,0.002313991,0.01698609,0.005662145,0.0003934159,0.04475319,0.001764479,0.9025649],"genre_scores_gemma":[0.02659933,0.002678369,0.001068829,0.001076819,0.0003920502,0.0001440708,0.004670689,0.000520712,0.9628491],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1702594,"threshold_uncertainty_score":0.5695745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009134430694942595,"score_gpt":0.2320056303066658,"score_spread":0.2228711996117232,"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."}}