{"id":"W300065045","doi":"10.4000/ocim.1397","title":"Le traitement patrimonial de fonds scientifiques","year":2014,"lang":"fr","type":"article","venue":"La Lettre de l’OCIM","topic":"Historical and Literary Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Musée de la Civilisation","funders":"","keywords":"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.02642875,0.0008278823,0.0005803779,0.007841527,0.01134817,0.01339066,0.001737078,0.003464429,0.01057555],"category_scores_gemma":[0.05665953,0.0006859662,0.0006580098,0.008262329,0.0219015,0.01011009,0.006052241,0.005356882,0.00230019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007854626,"about_ca_system_score_gemma":0.00772553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007145285,"about_ca_topic_score_gemma":0.01214324,"domain_scores_codex":[0.9801287,0.009258203,0.000929724,0.00133348,0.007446603,0.0009032708],"domain_scores_gemma":[0.9259309,0.0411599,0.006676936,0.01471309,0.009816379,0.001702783],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003016613,0.00001472683,0.001949413,0.0002113418,0.00003332567,0.0004448222,0.02911473,0.0001903988,0.0007220921,0.8931172,0.03062375,0.04354811],"study_design_scores_gemma":[0.00001222801,0.00001365771,0.00312284,0.0004155914,0.00002575075,0.0009350108,0.004407516,0.0005170144,0.001039674,0.1157843,0.8736876,0.0000388574],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0587322,0.02149044,0.05950559,0.1414941,0.006480118,0.0001822093,0.0006447881,0.0008267943,0.7106438],"genre_scores_gemma":[0.7558358,0.007598455,0.03624754,0.01246671,0.006017818,0.0005250168,0.0004642266,0.001143248,0.1797012],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9866093,"threshold_uncertainty_score":0.1397703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0128287246475873,"score_gpt":0.2561985533489941,"score_spread":0.2433698287014067,"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."}}