{"id":"W4317676858","doi":"","title":"Résolution de l’approximation de schiff par la méthode de monte carlo pour l’évaluation des propriétés radiatives : application aux micro-organismes photosynthétiques","year":2017,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Edible Oils Quality and Analysis","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Physics","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":[0.005304214,0.00122936,0.001111393,0.001272539,0.001306527,0.001990343,0.003253958,0.002998136,0.00623037],"category_scores_gemma":[0.01218475,0.001009087,0.00150984,0.001130392,0.00160823,0.001758376,0.001576787,0.003899332,0.001714457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002052763,"about_ca_system_score_gemma":0.003038507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02401651,"about_ca_topic_score_gemma":0.01732236,"domain_scores_codex":[0.9987584,0.0006691334,0.00004606029,0.00009825035,0.0003350301,0.00009311617],"domain_scores_gemma":[0.9913296,0.006640729,0.0002172562,0.0005685729,0.001019542,0.0002243674],"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":[0.0003270959,0.0001742649,0.0009817955,0.0002644998,0.0001346345,0.0002234249,0.0002667338,0.7259803,0.008357344,0.2030464,0.003452924,0.05679049],"study_design_scores_gemma":[0.00001318746,0.000007629066,0.00006958023,0.00000953877,0.000004429561,0.00001521919,0.000008301477,0.991875,0.001324338,0.00577069,0.0008891104,0.00001289348],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01715378,0.0003463572,0.9779813,0.0003020339,0.0001721412,0.00007275595,0.00009143761,0.0004421585,0.00343813],"genre_scores_gemma":[0.2247787,0.0005768046,0.7594851,0.0003146384,0.0001487541,0.0006012684,0.0003085183,0.001555972,0.01223023],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02401651,"threshold_uncertainty_score":0.04775339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03949971867138002,"score_gpt":0.2949739124545045,"score_spread":0.2554741937831245,"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."}}