{"id":"W7042343315","doi":"","title":"Planification de la tâche et prévision des allocations de ressources au département des sciences humaines à partir de la clientèle étudiante inscrite au Cégep de Chicoutimi pour l'année académique 1986-1987 : un outil de gestion informatique sur Mac Plus à l'aide du logiciel Microsoft Excel : analyse détaillée de la projection du 1er mai 1986 /","year":2015,"lang":"fr","type":"other","venue":"Bibliothèque et Archives nationales du Québec (Québec government)","topic":"Sharing Economy and Platforms","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Nucleofection; Gestational period; TSG101; Dysgeusia; Liquation; Diafiltration; Emperipolesis; Triacetin; Demotion","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.007043045,0.0007427665,0.000537344,0.001656534,0.001926889,0.002232535,0.0009469282,0.0005295681,0.000764607],"category_scores_gemma":[0.007032938,0.0007195454,0.0002703446,0.001262164,0.002179401,0.002476738,0.0004044032,0.0008542939,0.00007624227],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.01129514,"about_ca_system_score_gemma":0.0300982,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1675239,"about_ca_topic_score_gemma":0.6138329,"domain_scores_codex":[0.99565,0.0009160163,0.00101299,0.0007242445,0.0006638846,0.001032885],"domain_scores_gemma":[0.992076,0.005886908,0.001253689,0.0003570395,0.0002075191,0.0002188127],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002670205,0.0006975929,0.9124517,0.000948611,0.0003046287,0.00002241703,0.0279197,0.0211268,0.002907861,0.01660444,0.01572218,0.001026973],"study_design_scores_gemma":[0.001447879,0.00008289552,0.816054,0.001343099,0.0003310857,0.0001885463,0.002456506,0.05098467,0.001001598,0.006765484,0.1185173,0.0008268767],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8888708,0.001334878,0.02752693,0.004965657,0.0000817273,0.0007239696,0.0001321998,0.0001999871,0.07616382],"genre_scores_gemma":[0.9786457,0.002500451,0.007085419,0.001490302,0.0007508709,0.0004428189,0.0002029339,0.0001407732,0.008740761],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4463089,"threshold_uncertainty_score":0.9995255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03216281463670054,"score_gpt":0.2599249997290936,"score_spread":0.227762185092393,"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."}}