{"id":"W4392503511","doi":"","title":"From MT homogeneous systems to heterogeneous CAT systems","year":2009,"lang":"fr","type":"preprint","venue":"OpenGrey (Institut de l'Information Scientifique et Technique)","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Homogeneous; Computer science; Physics; Statistical physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001452804,0.0005963757,0.0006240208,0.001428302,0.001187692,0.004555813,0.001429614,0.001263942,0.01530868],"category_scores_gemma":[0.006510562,0.0006370112,0.0009207653,0.002077747,0.001818296,0.006179926,0.004152407,0.00156725,0.003838875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002282923,"about_ca_system_score_gemma":0.001912363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01221563,"about_ca_topic_score_gemma":0.01392927,"domain_scores_codex":[0.998602,0.0004200087,0.0001104581,0.0004079023,0.000309851,0.000149808],"domain_scores_gemma":[0.9962062,0.00121898,0.0002249631,0.001341409,0.0007717346,0.0002368042],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000539438,0.0001096443,0.01000029,0.001302294,0.0002366795,0.001986067,0.003759737,0.08709677,0.02961357,0.5302295,0.01549892,0.3196271],"study_design_scores_gemma":[0.00009714742,0.0002594722,0.007856684,0.0002898813,0.0002597785,0.0013488,0.001967705,0.3404114,0.01810313,0.4159355,0.2133622,0.0001083299],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09075995,0.003936988,0.8369021,0.002416955,0.0003691578,0.0004370282,0.001353235,0.005125999,0.05869856],"genre_scores_gemma":[0.7063574,0.001685502,0.2526216,0.0006980131,0.0002348006,0.0003362218,0.00215853,0.001498341,0.03440968],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01530868,"threshold_uncertainty_score":0.05121261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05533452370087005,"score_gpt":0.3454448796105173,"score_spread":0.2901103559096472,"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."}}