{"id":"W611608594","doi":"10.71781/16821","title":"Analyse des données et étude systématique de la réponse des détecteurs dans le cadre du projet PICASSO","year":2008,"lang":"fr","type":"dissertation","venue":"Open MIND","topic":"Environmental and Social Impact Assessments","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Humanities; Philosophy","routes":{"ca_aff":false,"ca_fund":true,"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","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001210184,0.0005813132,0.0005891017,0.00007534353,0.001326381,0.0005463081,0.001097353,0.0005449634,0.002918061],"category_scores_gemma":[0.000172359,0.0005791837,0.0002250987,0.0003783401,0.001636913,0.001203095,0.0004346791,0.0005607634,0.0007996483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001651039,"about_ca_system_score_gemma":0.0003587567,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0376744,"about_ca_topic_score_gemma":0.04457601,"domain_scores_codex":[0.9958407,0.001678477,0.0005477244,0.000719833,0.0005050515,0.0007082729],"domain_scores_gemma":[0.9985586,0.0002517449,0.0004034157,0.0003698142,0.00001606044,0.0004003328],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001374678,0.00136368,0.734454,0.0001141705,0.0002494337,0.0003611152,0.106169,0.001306883,0.1374099,0.0000414153,0.000174978,0.01821798],"study_design_scores_gemma":[0.0006241233,0.0001640953,0.9116976,0.0004242839,0.0002039143,0.0001396505,0.03945041,0.0001786518,0.04524821,0.0003278077,0.0008824807,0.0006588338],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9677129,0.0001974277,0.0004767108,0.0001376795,0.0001030262,0.0009550889,0.0001665294,0.000006222653,0.03024437],"genre_scores_gemma":[0.9714044,0.002260539,0.01729546,0.00008183568,0.0000516892,0.0001339332,0.00039186,0.00007536432,0.008304877],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1772435,"threshold_uncertainty_score":0.9999784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03098761208850906,"score_gpt":0.3263062100513827,"score_spread":0.2953185979628736,"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."}}