{"id":"W1527886899","doi":"","title":"Overburdened: Understanding the Impacts of Mineral Extraction on Women's Health","year":2003,"lang":"en","type":"article","venue":"Canadian women's studies","topic":"Heavy Metal Exposure and Toxicity","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Extraction (chemistry); Mineral; Chemistry; Materials science; Metallurgy; Chromatography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007780769,0.0001450315,0.0002369712,0.00006752015,0.0004149084,0.00001626607,0.0001028456,0.00003669771,0.0005382763],"category_scores_gemma":[0.0002222947,0.000103483,0.00003917977,0.0002895778,0.0002206384,0.0001108293,0.00002074497,0.0001286837,0.00006022766],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005199431,"about_ca_system_score_gemma":0.0001487657,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002675246,"about_ca_topic_score_gemma":0.03190848,"domain_scores_codex":[0.9985135,0.000137823,0.0002134475,0.0002056527,0.0002474405,0.0006821435],"domain_scores_gemma":[0.9991437,0.0001193311,0.0001005257,0.000207766,0.000007439235,0.0004212959],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004562597,0.0009875968,0.1651756,0.0006909554,0.002494933,0.0002981545,0.5176593,0.008321534,0.01865637,0.2132839,0.06021674,0.01175861],"study_design_scores_gemma":[0.002509014,0.004107731,0.08174363,0.0001949343,0.00004481251,0.0000611402,0.6925948,0.00006273352,0.003004931,0.08996539,0.1240993,0.00161156],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9847059,0.000118658,0.00001804749,0.0007155148,0.0002433139,0.0001750942,0.00001112831,0.00001054349,0.01400179],"genre_scores_gemma":[0.9967024,0.00006900544,0.00002648122,0.002398249,0.0000294742,0.00002719874,5.864895e-7,0.00001062031,0.0007359948],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1749355,"threshold_uncertainty_score":0.9986194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03850550337988955,"score_gpt":0.2819221669894993,"score_spread":0.2434166636096098,"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."}}