{"id":"W6981527199","doi":"","title":"Environnement intérieur: mieux connaître pour mieux prévenir! Partie II. La recherche sur les moisissures au Conseil national de recherche du Canada","year":2007,"lang":"fr","type":"article","venue":"NPARC","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Research council; Work (physics); State (computer science); Research program","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.002534756,0.0004878318,0.0005748292,0.001227365,0.002309615,0.004321433,0.0009202957,0.002205748,0.01126973],"category_scores_gemma":[0.00461224,0.0003460901,0.0004529378,0.0009158192,0.002548195,0.003182736,0.002962533,0.002573634,0.001577158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005194575,"about_ca_system_score_gemma":0.00804006,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1144159,"about_ca_topic_score_gemma":0.1636285,"domain_scores_codex":[0.9979449,0.0005584693,0.00007941269,0.0002378098,0.0007318411,0.000447508],"domain_scores_gemma":[0.9983495,0.0003501342,0.0002292651,0.00009270659,0.0006074634,0.000370948],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002486924,0.0001750796,0.07111447,0.001654223,0.00008882372,0.002863752,0.03059693,0.0003587251,0.007093714,0.06250288,0.1087359,0.7145667],"study_design_scores_gemma":[0.000007381208,0.000191284,0.1049376,0.001617685,0.00006027462,0.002486779,0.02059951,0.0001780119,0.001692609,0.009795431,0.8583713,0.0000620827],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1091004,0.3693627,0.01760996,0.3523672,0.007693835,0.0002406079,0.001510515,0.0004831593,0.1416316],"genre_scores_gemma":[0.5839347,0.1752303,0.02281669,0.03133772,0.003896073,0.0002726318,0.0008799362,0.0002339769,0.181398],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8855841,"threshold_uncertainty_score":0.2274998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2390485148423384,"score_gpt":0.3650881676212755,"score_spread":0.1260396527789371,"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."}}