{"id":"W7055887032","doi":"","title":"Détecter des éléments graphiques avec un appareil mobile","year":2014,"lang":"fr","type":"other","venue":"Bibliothèque et Archives nationales du Québec (Québec government)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Presentation (obstetrics); Work (physics); Lower limb","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":[0.0002579764,0.001097822,0.0005794565,0.003423506,0.0009717677,0.001310763,0.0007355844,0.001467336,0.004590668],"category_scores_gemma":[0.002126766,0.0004144307,0.000723488,0.001797762,0.000586984,0.001124373,0.0009131299,0.0007605311,0.002839724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005667857,"about_ca_system_score_gemma":0.0006589323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02960244,"about_ca_topic_score_gemma":0.05393615,"domain_scores_codex":[0.999279,0.00004987717,0.00002515398,0.000250266,0.0002742015,0.0001215975],"domain_scores_gemma":[0.9989204,0.000367509,0.0001035846,0.0001213285,0.00040271,0.0000843883],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001927482,0.0003518299,0.1442373,0.001132602,0.0004623972,0.005066387,0.001740907,0.03532593,0.2693229,0.01685229,0.03838633,0.4851938],"study_design_scores_gemma":[0.0001168014,0.0006351737,0.1422965,0.0003961313,0.0003585437,0.00749002,0.004785295,0.5785886,0.1483793,0.02025795,0.09651272,0.0001830607],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6942512,0.001995317,0.2652615,0.0009870925,0.0004227341,0.0003330329,0.008813639,0.006813966,0.02112151],"genre_scores_gemma":[0.793216,0.0006836132,0.1706853,0.0002771019,0.00009946633,0.0001323498,0.01037783,0.0007718611,0.02375657],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02960244,"threshold_uncertainty_score":0.05886024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007044630279742896,"score_gpt":0.2236157929921205,"score_spread":0.2165711627123776,"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."}}