{"id":"W4233458989","doi":"10.3406/aster.2006.1455","title":"Une approche intégrée de la modélisation scientifique assistée par l'ordinateur","year":2006,"lang":"fr","type":"article","venue":"Aster","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Université du Québec à Montréal","funders":"","keywords":"Humanities; 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":[0.007028302,0.001966357,0.001676444,0.002465511,0.001529574,0.008668505,0.00466184,0.004665149,0.01645944],"category_scores_gemma":[0.0138385,0.001510787,0.00429968,0.001848432,0.002212665,0.005913353,0.006898724,0.004396557,0.007523858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002035614,"about_ca_system_score_gemma":0.00411923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006710627,"about_ca_topic_score_gemma":0.005199981,"domain_scores_codex":[0.9928638,0.002087986,0.0004433081,0.000892711,0.003402391,0.0003099164],"domain_scores_gemma":[0.9930133,0.002738059,0.0002397439,0.002174801,0.001666124,0.0001679842],"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":[0.0001729966,0.0001814505,0.001391326,0.001239054,0.000300643,0.0005773066,0.00156013,0.1828323,0.0166879,0.4890713,0.01284024,0.2931454],"study_design_scores_gemma":[0.00005355765,0.0001038045,0.0003380334,0.0003586659,0.0001226688,0.0003096473,0.0002476418,0.5706688,0.008988597,0.2015855,0.2171298,0.00009331066],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0005874421,0.0001557817,0.9927316,0.0004532652,0.0001108695,0.00006788589,0.00007172025,0.001445515,0.00437584],"genre_scores_gemma":[0.04450564,0.001236946,0.9308382,0.0005179395,0.0001987093,0.0005549911,0.0006660579,0.001253711,0.02022776],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01645944,"threshold_uncertainty_score":0.05506229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02518380666153195,"score_gpt":0.2730831925130516,"score_spread":0.2478993858515196,"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."}}