{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002944446,0.0002715869,0.0004085054,0.00007789259,0.0002644397,0.00004053196,0.0002021352,0.000185126,0.0001729822],"category_scores_gemma":[0.00002234047,0.0001410088,0.00003720376,0.0003694656,0.0001873814,0.000124766,0.00004759138,0.0002876913,0.00001227668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001600073,"about_ca_system_score_gemma":0.0002388482,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6985478,"about_ca_topic_score_gemma":0.9756996,"domain_scores_codex":[0.9979706,0.0001460255,0.0004121193,0.0004983352,0.0001561394,0.0008167721],"domain_scores_gemma":[0.9990989,0.0001802867,0.00008383196,0.00007796194,0.00002318487,0.0005358633],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005896072,0.0001971532,0.8178037,0.0001238216,0.00005893878,0.0009646984,0.004834632,0.00007430599,0.03656224,0.0005743989,0.0501839,0.0885632],"study_design_scores_gemma":[0.0002922787,0.0001639926,0.940575,0.00004370487,0.000004972415,0.0002665738,0.001321664,0.00008305508,0.0003924884,0.00007071943,0.0563258,0.0004597236],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.967003,0.0009283044,0.000003269139,0.02982614,0.000121425,0.0003374325,0.0008421518,0.00002196418,0.0009163186],"genre_scores_gemma":[0.9859986,0.0005137466,0.0001462852,0.01217377,0.00009220316,0.00001599894,0.00004938542,0.00000261008,0.001007398],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2771518,"threshold_uncertainty_score":0.5750173,"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."}}