{"id":"W3158977109","doi":"","title":"Metals in Particulate Matter and Deciduous Teeth","year":2021,"lang":"en","type":"dissertation","venue":"TSpace","topic":"Recycling and Waste Management Techniques","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Particulates; Deciduous; Deciduous teeth; Environmental science; Dentistry; Chemistry; Medicine; Biology; Botany","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":[0.000133712,0.0001533284,0.00008780776,0.0007732021,0.0004572952,0.0006838988,0.0001284692,0.0001702934,0.002439102],"category_scores_gemma":[0.0002149623,0.00009866078,0.0001095948,0.0007364608,0.0002369326,0.00008135282,0.0002159723,0.0001310413,0.0002688238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008349936,"about_ca_system_score_gemma":0.0007452971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07915157,"about_ca_topic_score_gemma":0.1378691,"domain_scores_codex":[0.9999338,0.000005229468,0.000003102781,0.00001633303,0.00002933657,0.00001216753],"domain_scores_gemma":[0.9999361,0.00001080513,0.00002071841,0.000002965381,0.00001711913,0.00001224198],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000596211,0.0002110753,0.7282336,0.00120187,0.0001104306,0.002013879,0.006250819,0.0005453671,0.06437689,0.002377445,0.00365654,0.1904258],"study_design_scores_gemma":[0.000001816869,0.00006245534,0.9881369,0.00003165216,0.0000181667,0.0002852704,0.0008936109,0.00004405667,0.003438127,0.0002251181,0.006859844,0.000003015393],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9718598,0.01603542,0.000160241,0.0002227747,0.00002427914,0.00002138328,0.0009909801,0.000009837671,0.01067515],"genre_scores_gemma":[0.9720311,0.009919331,0.0003525824,0.00004954328,0.00002526678,0.00001012705,0.0004467261,0.000004076172,0.01716118],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07915157,"threshold_uncertainty_score":0.1573817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0112871773175735,"score_gpt":0.3009728865619751,"score_spread":0.2896857092444016,"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."}}