{"id":"W35203976","doi":"10.3390/brainsci12020213","title":"Professionnaliser les services en ligne","year":2012,"lang":"en","type":"article","venue":"I2D: information, données & documents","topic":"Information Technology and Learning","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Maccabi Institute for Health Services Research; National Insurance Institute of Israel","keywords":"Ligne; Computer science; Humanities; Art","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":[0.001188169,0.0004083464,0.000242669,0.0005951526,0.001335659,0.001045074,0.0005473945,0.0009586297,0.06841614],"category_scores_gemma":[0.003477623,0.0001383489,0.0004489089,0.0003960859,0.0004484891,0.0006029251,0.0007218795,0.001054351,0.008113646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001501732,"about_ca_system_score_gemma":0.003033224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01823383,"about_ca_topic_score_gemma":0.02432841,"domain_scores_codex":[0.9986204,0.0006925567,0.00004015007,0.0001287866,0.0002716419,0.0002465274],"domain_scores_gemma":[0.9985159,0.0004743435,0.0001554774,0.00008584527,0.0001890938,0.0005792669],"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":[0.002161954,0.01003519,0.0449313,0.0005088867,0.00007284576,0.002670985,0.005278148,0.0006157917,0.00898429,0.003382316,0.02876502,0.8925932],"study_design_scores_gemma":[0.002020871,0.0141269,0.2660232,0.001046593,0.0001028364,0.006239616,0.01192496,0.001619202,0.006691112,0.00174264,0.6883578,0.0001043528],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.8209535,0.008108306,0.004260314,0.01035043,0.001508344,0.0006126888,0.001055684,0.000834173,0.1523165],"genre_scores_gemma":[0.8733978,0.004896712,0.0086702,0.002318959,0.0009459251,0.0007045855,0.0009035438,0.0001079346,0.1080545],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.06841614,"threshold_uncertainty_score":0.2288748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01009019910252002,"score_gpt":0.2995465138827898,"score_spread":0.2894563147802698,"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."}}