{"id":"W2789677958","doi":"10.4000/iss.414","title":"Les Best Practices, trésor de Troie ou trésor de Barbe Noire ?","year":2015,"lang":"fr","type":"article","venue":"ICOFOM Study Series","topic":"Cultural Industries and Urban Development","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Humanities; Art; Political science","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":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001538681,0.0004345189,0.0004977565,0.00005496572,0.001302278,0.0005932671,0.0005900838,0.0003712097,0.0009601038],"category_scores_gemma":[0.001266623,0.0003949898,0.0001267732,0.0006717521,0.0007313352,0.001288761,0.0002270576,0.0005579278,0.0002817931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001136435,"about_ca_system_score_gemma":0.001568564,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0981793,"about_ca_topic_score_gemma":0.08379319,"domain_scores_codex":[0.9962809,0.0007067949,0.0005407361,0.0005418287,0.0008112491,0.001118462],"domain_scores_gemma":[0.9979176,0.0002056365,0.0005421098,0.0003177359,0.0003561667,0.0006607476],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000434827,0.002714246,0.22222,0.00007203941,0.0005124378,0.00035783,0.2664356,0.00005665878,0.00007477653,0.007096387,0.3755238,0.1245013],"study_design_scores_gemma":[0.0006616686,0.0007568055,0.01233544,0.00005662211,0.0001802411,0.00002897486,0.3111654,0.00001149306,0.000092324,0.0003163202,0.6740085,0.0003862475],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8263202,0.009930749,0.00002205158,0.1063861,0.002620946,0.001138175,0.00005820179,0.0001639444,0.05335964],"genre_scores_gemma":[0.5379536,0.0006647139,0.001012801,0.0002822035,0.001364667,0.0001056177,0.000009549049,0.00003624763,0.4585706],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.405211,"threshold_uncertainty_score":0.9999979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2716793700446424,"score_gpt":0.4003177506620808,"score_spread":0.1286383806174384,"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."}}