{"id":"W7026660094","doi":"","title":"Association entre l'anémie maternelle et les paramètres hématologiques du nourrisson","year":2001,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Term (time); Risk factor; Disease; Population","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0005454999,0.0001937036,0.0001824193,0.001539265,0.001180545,0.0009044821,0.0006324283,0.0006479001,0.04062014],"category_scores_gemma":[0.007616058,0.000172183,0.0003089987,0.001713938,0.0003780864,0.0003412936,0.0003966191,0.000858998,0.003566513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004598344,"about_ca_system_score_gemma":0.006306103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4489378,"about_ca_topic_score_gemma":0.5869572,"domain_scores_codex":[0.9991822,0.0001436906,0.00004651434,0.00007363544,0.0002703937,0.0002835694],"domain_scores_gemma":[0.9941587,0.001411399,0.001061147,0.0001930705,0.001767065,0.001408654],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005613507,0.0001432231,0.8524263,0.0001484517,0.00005120528,0.0007593564,0.0008060478,0.000165398,0.0004428273,0.00166936,0.07265497,0.07017159],"study_design_scores_gemma":[0.00001923253,0.00004068359,0.9638211,0.0001511022,0.0000242224,0.0007551699,0.0007948304,0.0001362791,0.0001523402,0.0001724615,0.03391789,0.0000147493],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7653188,0.02625057,0.0003304501,0.02470664,0.0009432452,0.00007606806,0.01592927,0.0001395923,0.1663054],"genre_scores_gemma":[0.8471442,0.01229039,0.0002697744,0.001114455,0.0006370539,0.00005561591,0.003111207,0.00006264608,0.1353146],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4489378,"threshold_uncertainty_score":0.8926495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002655059322324539,"score_gpt":0.1457051006739151,"score_spread":0.1430500413515906,"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."}}