{"id":"W1509637642","doi":"","title":"Computational science and its applications - ICCSA 2003 : International Conference, Montreal, Canada, May 18-21, 2003 : proceedings","year":2003,"lang":"en","type":"book","venue":"Springer eBooks","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Library science; Political science; Computer science","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":[0.002084297,0.001730156,0.002280932,0.002696034,0.001509355,0.005676869,0.002044844,0.0009571393,0.08897785],"category_scores_gemma":[0.002885696,0.001000164,0.0007621236,0.006656469,0.001411082,0.00298652,0.002182163,0.002632515,0.03376199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004774721,"about_ca_system_score_gemma":0.01138739,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1246166,"about_ca_topic_score_gemma":0.2232279,"domain_scores_codex":[0.9991807,0.00009645373,0.00003319527,0.0001074328,0.0005015274,0.00008058373],"domain_scores_gemma":[0.9974115,0.0004596431,0.000050882,0.0002931829,0.001397429,0.0003873483],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003977069,0.0000449256,0.0002732376,0.0002326602,0.00001718728,0.00002282116,0.00005428745,0.0009463227,0.0006465369,0.007036855,0.8607092,0.1299762],"study_design_scores_gemma":[0.00001815132,0.00002879788,0.001554716,0.0002615457,0.00003146999,0.0001425088,0.0001325199,0.007616828,0.00121185,0.01168853,0.9772841,0.00002903384],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.008368383,0.1696761,0.215331,0.02540091,0.02974405,0.0008720999,0.01330998,0.01626167,0.5210359],"genre_scores_gemma":[0.01355526,0.08107945,0.05123609,0.00113873,0.002531921,0.0002594866,0.008388537,0.002417755,0.8393928],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8753834,"threshold_uncertainty_score":0.2976605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07435334613850013,"score_gpt":0.3237748705218895,"score_spread":0.2494215243833894,"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."}}