{"id":"W194357944","doi":"10.7202/1030119ar","title":"Un traitement documentaire rigoureux","year":2015,"lang":"fr","type":"article","venue":"Documentation et bibliothèques","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Library science; Computer science; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.003260568,0.0007488606,0.0006816409,0.003933596,0.003279217,0.009334506,0.001087339,0.002035622,0.02109357],"category_scores_gemma":[0.01727053,0.0005034874,0.0006320872,0.004896789,0.003131504,0.005351747,0.001991327,0.001778251,0.009545066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004275769,"about_ca_system_score_gemma":0.005457266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04632208,"about_ca_topic_score_gemma":0.03629031,"domain_scores_codex":[0.9933993,0.0009968892,0.0004486155,0.0007738337,0.004062836,0.0003186027],"domain_scores_gemma":[0.9825013,0.00346029,0.001108714,0.004159973,0.008172173,0.0005975817],"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":[0.0006957408,0.0001034082,0.007122015,0.001740978,0.0001364964,0.003388179,0.005566179,0.005913825,0.05055595,0.245707,0.08715384,0.5919164],"study_design_scores_gemma":[0.00003957019,0.0001072552,0.005142562,0.0003151273,0.00006599377,0.002620579,0.001276277,0.005444697,0.01976412,0.02138522,0.9437265,0.000112056],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1372445,0.02307518,0.3432626,0.02109441,0.005503782,0.0008285677,0.006047986,0.01120311,0.4517399],"genre_scores_gemma":[0.4453637,0.009801537,0.1517044,0.001817645,0.001874916,0.0003489853,0.003950164,0.002805465,0.3823332],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9906655,"threshold_uncertainty_score":0.09210491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1882234485531985,"score_gpt":0.3899424582187995,"score_spread":0.201719009665601,"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."}}