{"id":"W7098392528","doi":"","title":"Lead, mercury and cadmium levels in Canadians • Health Matters Lead, mercury and cadmium levels in Canadians","year":2008,"lang":"en","type":"article","venue":"","topic":"Plant Taxonomy and Phylogenetics","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mercury (programming language); Cadmium; Public health; General partnership; Health data; Agency (philosophy)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"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":[0.0004607521,0.0002498623,0.0003082046,0.002847155,0.003560675,0.001105591,0.0005768893,0.0003858673,0.003909379],"category_scores_gemma":[0.001346085,0.0002405,0.0003881046,0.007404462,0.0005690137,0.0002982623,0.0005191037,0.0004161399,0.0002855239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01705233,"about_ca_system_score_gemma":0.01888541,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9972121,"about_ca_topic_score_gemma":0.9981657,"domain_scores_codex":[0.9992278,0.00003524875,0.00003841916,0.00009177678,0.0003918343,0.0002149985],"domain_scores_gemma":[0.998562,0.00004593417,0.0001184164,0.00002318976,0.001034859,0.0002154546],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001087978,0.00004221936,0.9695367,0.0001940154,0.0001120492,0.00009173236,0.001843849,0.0001573365,0.0007153222,0.0004652575,0.007637076,0.01909569],"study_design_scores_gemma":[0.000003779796,0.00001803159,0.9921285,0.00003428033,0.00002469551,0.00004169297,0.001429814,0.00006481621,0.0001039299,0.00003933848,0.006101772,0.000009348682],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9385789,0.005386965,0.0002348373,0.001969033,0.00008703428,0.00007181065,0.02839883,0.00004093891,0.02523175],"genre_scores_gemma":[0.9877234,0.002313341,0.0004732423,0.0003370379,0.00001913255,0.00001779843,0.005099319,0.0000089418,0.004007922],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01705233,"threshold_uncertainty_score":0.1237239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04815790701801555,"score_gpt":0.2248827028419496,"score_spread":0.1767247958239341,"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."}}