{"id":"W2290014606","doi":"","title":"Ordonnancement sous contraintes d'énergie et de ressources humaines","year":2007,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Process Optimization and Integration","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Humanities; Political science; Computer science; Art","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":[],"consensus_categories":[],"category_scores_codex":[0.002389349,0.001677606,0.001513505,0.001372932,0.0009012965,0.003781554,0.001005923,0.002003591,0.004337322],"category_scores_gemma":[0.007590455,0.0007159259,0.001843575,0.001095541,0.001357148,0.001748944,0.00110615,0.001912823,0.0005228227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001682606,"about_ca_system_score_gemma":0.0009722568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01558433,"about_ca_topic_score_gemma":0.01095549,"domain_scores_codex":[0.9976431,0.0007875828,0.0000918595,0.0004395242,0.0008336663,0.000204294],"domain_scores_gemma":[0.9937642,0.004871385,0.0002951586,0.0002999194,0.0005493063,0.0002199688],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006743066,0.0001241262,0.002564826,0.0002052875,0.0001546974,0.000255406,0.0002135557,0.9026733,0.02182435,0.03200048,0.0007162588,0.0385934],"study_design_scores_gemma":[0.00002502029,0.00005184438,0.001358619,0.00001296856,0.0000174836,0.00004690741,0.00003877862,0.9803992,0.01004975,0.006957954,0.001021166,0.00002028844],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2890501,0.0003694825,0.7009522,0.0003473581,0.0001677572,0.00004428504,0.0001764859,0.0006159025,0.008276407],"genre_scores_gemma":[0.7827643,0.0004204462,0.1963149,0.0001425849,0.00008099905,0.0001541865,0.0005023447,0.0006607046,0.01895956],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01558433,"threshold_uncertainty_score":0.0309872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01415324907371131,"score_gpt":0.2437200909604066,"score_spread":0.2295668418866953,"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."}}