{"id":"W6974138483","doi":"10.58079/ng2m","title":"Participez à une enquête internationale sur le vélo avant et pendant la crise sanitaire (Covid-19) !","year":2021,"lang":"fr","type":"article","venue":"Industrias Culturais (Universidade de Coimbra)","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Government (linguistics); Relation (database); Face (sociological concept); Perspective (graphical)","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":[0.003853267,0.0003208796,0.000381043,0.0008108523,0.007800742,0.005599914,0.000881625,0.001940371,0.03176992],"category_scores_gemma":[0.006822485,0.0004566186,0.0003609241,0.001469648,0.002116492,0.002838728,0.007510009,0.004643706,0.00287271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003843949,"about_ca_system_score_gemma":0.01171847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09874188,"about_ca_topic_score_gemma":0.1684408,"domain_scores_codex":[0.9971801,0.0008734514,0.00008742198,0.0002052495,0.0003779623,0.001275778],"domain_scores_gemma":[0.9948849,0.0004403538,0.0005873692,0.0001996467,0.0007169957,0.003170562],"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":[0.0002666797,0.0005078362,0.1351996,0.001415447,0.00007548283,0.002060947,0.295954,0.0000769266,0.00247248,0.06454225,0.3469577,0.1504706],"study_design_scores_gemma":[0.00001745625,0.0001190725,0.1210248,0.001050373,0.00001608464,0.0002949805,0.1262093,0.00002096093,0.0002570548,0.000870403,0.7500747,0.00004493446],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.384707,0.02346462,0.002132651,0.305843,0.008637196,0.0005545977,0.004028608,0.0001496711,0.2704827],"genre_scores_gemma":[0.7323144,0.01404311,0.00298023,0.02342668,0.00123475,0.0007031118,0.002325223,0.0002272689,0.2227452],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09874188,"threshold_uncertainty_score":0.1963343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2262860149803867,"score_gpt":0.3729772575812307,"score_spread":0.146691242600844,"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."}}