{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.04191008,0.0006575002,0.0009577533,0.0002365059,0.001624178,0.001030059,0.003196921,0.0005644892,0.0005752558],"category_scores_gemma":[0.003546264,0.0007209056,0.0008305295,0.0008167794,0.001569492,0.0004592254,0.002204706,0.001468498,0.00011454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008384662,"about_ca_system_score_gemma":0.002222535,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0702282,"about_ca_topic_score_gemma":0.09391934,"domain_scores_codex":[0.9537339,0.04160203,0.001062875,0.001389164,0.0008368531,0.001375167],"domain_scores_gemma":[0.9862829,0.007823056,0.001020163,0.003145513,0.001044852,0.0006834898],"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":[0.0000694763,0.004015384,0.1539153,0.0003920014,0.00109484,0.00002556423,0.3070289,0.004482884,0.005743531,0.3985903,0.00487843,0.1197633],"study_design_scores_gemma":[0.004403841,0.000009310498,0.1685505,0.00992818,0.002115634,0.00004011209,0.1092412,0.2310219,0.03011909,0.08486895,0.3553694,0.004331833],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6397626,0.002697902,0.1614626,0.05589899,0.0002531128,0.0008717809,0.0004450643,0.0002415924,0.1383663],"genre_scores_gemma":[0.9479086,0.005034273,0.02714345,0.0008876627,0.00005845178,0.0001445649,0.0006406817,0.00008495874,0.01809737],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.350491,"threshold_uncertainty_score":0.9996756,"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."}}