{"id":"W4377942079","doi":"10.1007/978-3-030-22767-8_1245","title":"Large-Scale Resource Extraction and Violence Against Women","year":2023,"lang":"en","type":"book-chapter","venue":"","topic":"Mining and Resource Management","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Scale (ratio); Resource (disambiguation); Extraction (chemistry); Computer science; Geography; Chromatography; Cartography; Chemistry; Computer network","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003886854,0.0004148065,0.0002210791,0.0006614777,0.003342073,0.003052576,0.000613149,0.001317821,0.02562422],"category_scores_gemma":[0.001123824,0.0002030576,0.0001637043,0.00160381,0.003048038,0.001955907,0.001924133,0.001480351,0.003226656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001828096,"about_ca_system_score_gemma":0.001597445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01078056,"about_ca_topic_score_gemma":0.04479871,"domain_scores_codex":[0.999658,0.0001192315,0.000008048206,0.00002727595,0.0001104335,0.00007688069],"domain_scores_gemma":[0.9996351,0.0002446863,0.00003232634,0.00003064923,0.00003191742,0.00002527111],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001355073,0.00006216465,0.001072379,0.0001282608,0.000008605503,0.0002761025,0.01203684,0.000429857,0.0001886983,0.694752,0.160096,0.1309355],"study_design_scores_gemma":[0.000003789793,0.00001892639,0.004951216,0.0006334362,0.000005645084,0.0004230079,0.01605748,0.0003954896,0.0003934483,0.2080662,0.76904,0.00001135778],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006396098,0.007448618,0.001709541,0.005068264,0.0002422192,0.00002500849,0.00007717474,0.0000174924,0.9790157],"genre_scores_gemma":[0.1330074,0.01430553,0.001259413,0.001853367,0.0002351228,0.00005669092,0.0001203606,0.00005501887,0.8491071],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02562422,"threshold_uncertainty_score":0.08572155,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009641212289227916,"score_gpt":0.1973652085537393,"score_spread":0.1877239962645114,"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."}}