{"id":"W7036034608","doi":"","title":"Analyse généalogique de familles apparentées à un ou plusieurs asthmatiques dans la population du Saguenay","year":2001,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"Quantum, superfluid, helium dynamics","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Statistical analysis; Lung function","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00003388284,0.0007085517,0.0007807157,0.00008716904,0.0002860932,0.000103832,0.0004861429,0.0001636426,0.0005273537],"category_scores_gemma":[0.000005774951,0.0007337779,0.0001482816,0.0001747186,0.0002251227,0.0003908275,0.0002502493,0.0004613834,4.888999e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007055581,"about_ca_system_score_gemma":0.002460068,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1008336,"about_ca_topic_score_gemma":0.2408224,"domain_scores_codex":[0.9961783,0.0004737509,0.0007067081,0.0006008075,0.001350786,0.0006896196],"domain_scores_gemma":[0.9981145,0.0004513591,0.0004991765,0.0004389027,0.000002066361,0.0004940306],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001047401,0.0001108819,0.5863723,0.0002871295,0.0005166371,0.0001579781,0.0004976463,0.001510531,0.002312257,0.3900841,0.000939852,0.017106],"study_design_scores_gemma":[0.001333152,0.0002241788,0.798877,0.001538284,0.000517656,0.00004854975,0.0214338,0.03968861,0.00844318,0.01440282,0.1112679,0.002224871],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.538251,0.001059355,0.008732649,0.002200759,0.0004198857,0.0005338494,0.001827356,0.00004018272,0.446935],"genre_scores_gemma":[0.9341369,0.001009134,0.00191551,0.0004180407,0.0004292259,0.00003047034,0.0004109127,0.0002043916,0.06144542],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3958859,"threshold_uncertainty_score":0.9995113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002122684439101077,"score_gpt":0.1500661333097853,"score_spread":0.1479434488706843,"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."}}