{"id":"W4288336862","doi":"10.25578/rts_issn1951-6614_2019-07","title":"(Re)placer la mobilité dans son contexte : le parcours commenté, un outil de recueil et d’analyse de données de mobilité","year":2019,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Data Analysis and Archiving","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Psychology; Computer science; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05724629,0.001625485,0.002038262,0.005796931,0.003527807,0.0130487,0.003451814,0.00349374,0.01115865],"category_scores_gemma":[0.1750809,0.001334087,0.002192541,0.007323908,0.007219067,0.01616117,0.008577871,0.004688489,0.004031662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004459099,"about_ca_system_score_gemma":0.0101731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01360813,"about_ca_topic_score_gemma":0.01510276,"domain_scores_codex":[0.9158056,0.05316737,0.006202266,0.0101103,0.0134155,0.001298818],"domain_scores_gemma":[0.8050924,0.130537,0.01015469,0.02899419,0.02383027,0.001391371],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001196131,0.0002706972,0.03271719,0.01140519,0.0008329602,0.00100958,0.1725982,0.006381928,0.01526926,0.1927699,0.0264503,0.5390986],"study_design_scores_gemma":[0.0002485835,0.0007634076,0.03263681,0.009313388,0.0009898311,0.001541404,0.1134393,0.02066641,0.02613332,0.1313052,0.6622687,0.0006936707],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1039718,0.008276445,0.8097686,0.01694661,0.001720298,0.003082502,0.003802953,0.001811262,0.05061944],"genre_scores_gemma":[0.3819244,0.004602474,0.5707446,0.003598254,0.0004816123,0.005343456,0.003045566,0.001588349,0.02867125],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.05724629,"threshold_uncertainty_score":0.302751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01955936645604255,"score_gpt":0.2721251827775303,"score_spread":0.2525658163214877,"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."}}