{"id":"W2407520746","doi":"","title":"GENCOL : Une équipe et un logiciel d'optimisation","year":2010,"lang":"fr","type":"article","venue":"Studia informatica universalis","topic":"Constraint Satisfaction and Optimization","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Software; Library science; Humanities; Computer science; Art; Operating system","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005054013,0.0002943826,0.0002659311,0.0002431615,0.0003877379,0.0003873423,0.0005262127,0.0002509884,0.001812463],"category_scores_gemma":[0.0002031195,0.0003152023,0.0001302632,0.001120005,0.0003623267,0.003348874,0.0002921791,0.0005733048,0.0005686379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001149196,"about_ca_system_score_gemma":0.0005868244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004130084,"about_ca_topic_score_gemma":0.0005294472,"domain_scores_codex":[0.9981839,0.000103122,0.0005473985,0.0002762716,0.0004367092,0.0004525721],"domain_scores_gemma":[0.9982502,0.0002112335,0.0003299667,0.0005718755,0.0003976323,0.0002390376],"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":[0.000009885127,0.00009697102,0.0002330243,0.00004931674,0.00008280473,0.00001719688,0.01940094,0.00419869,0.00006760257,0.8127194,0.007369547,0.1557546],"study_design_scores_gemma":[0.0020847,0.0002652057,0.01158782,0.00008613619,0.0001453773,0.000134471,0.005690672,0.304168,0.0002694436,0.003114094,0.6715411,0.0009129943],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0033232,0.00006021162,0.5388707,0.04056545,0.004112747,0.0006517551,0.00004829737,0.0003215352,0.4120461],"genre_scores_gemma":[0.710154,0.001398488,0.2731903,0.005386957,0.0003004931,0.00002776331,0.0001057147,0.00003775791,0.009398513],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8096053,"threshold_uncertainty_score":0.99993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0169233789265164,"score_gpt":0.2478768568311802,"score_spread":0.2309534779046638,"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."}}