{"id":"W2128759130","doi":"10.3166/isi.14.5.35-58","title":"Base de données de capteurs à localisation mobile Modèle et langage","year":2009,"lang":"fr","type":"article","venue":"Ingénierie des systèmes d information","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Humanities; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.003027802,0.002283335,0.002248456,0.004766024,0.00121814,0.00744427,0.002278112,0.002819762,0.01341583],"category_scores_gemma":[0.02279252,0.001479582,0.003753721,0.004474654,0.001367317,0.00693558,0.001850132,0.002265143,0.00887891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001552016,"about_ca_system_score_gemma":0.001918351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03439596,"about_ca_topic_score_gemma":0.02258959,"domain_scores_codex":[0.9949349,0.001029888,0.0005593517,0.001072841,0.002208108,0.0001949699],"domain_scores_gemma":[0.9897334,0.005893209,0.0004680645,0.001968842,0.001757613,0.0001789429],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002054729,0.0005422909,0.01891632,0.004415986,0.001181142,0.00544575,0.003988992,0.3093463,0.03409686,0.051339,0.03757235,0.5311003],"study_design_scores_gemma":[0.0003008525,0.0003674908,0.01011582,0.000762716,0.0005343105,0.003205057,0.001197448,0.6826228,0.03896266,0.04487093,0.2165326,0.0005272417],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03469697,0.003630905,0.9229942,0.0006522535,0.000183858,0.0003214924,0.01450559,0.01284648,0.01016826],"genre_scores_gemma":[0.3155282,0.004962987,0.6143332,0.0003276809,0.0001966593,0.0008950824,0.04913835,0.001874524,0.01274331],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03439596,"threshold_uncertainty_score":0.0683915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03758550440697143,"score_gpt":0.2508025776645552,"score_spread":0.2132170732575837,"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."}}