{"id":"W4229885640","doi":"10.4095/305008","title":"Geoscience tools for supporting environmental risk assessment of metal mining","year":2017,"lang":"en","type":"report","venue":"","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Earth science; Environmental science; Data science; Geology; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001867474,0.001207242,0.0006280661,0.00485444,0.0005026653,0.002474195,0.001963351,0.001217567,0.02615826],"category_scores_gemma":[0.007637829,0.0004515742,0.0009189774,0.003479636,0.0003337831,0.002597993,0.002651025,0.0008448903,0.009892154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006410378,"about_ca_system_score_gemma":0.001468046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00962045,"about_ca_topic_score_gemma":0.01448008,"domain_scores_codex":[0.9993438,0.0001336215,0.00007160591,0.00008724564,0.0003242033,0.00003955786],"domain_scores_gemma":[0.9975997,0.001100766,0.0001855693,0.0003944196,0.0006111364,0.000108532],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002400415,0.0003067359,0.01231384,0.001369139,0.0003273199,0.000740337,0.0005240809,0.1067845,0.006710261,0.06648585,0.3338646,0.4703332],"study_design_scores_gemma":[0.0001640869,0.00007292744,0.003949747,0.0005472103,0.00011457,0.0003069227,0.0007635259,0.4739365,0.007701101,0.1482907,0.364058,0.00009479818],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.01200512,0.001496312,0.6848667,0.003194952,0.0004427677,0.0006235638,0.09011111,0.1409149,0.0663446],"genre_scores_gemma":[0.1509116,0.002720535,0.7585457,0.0006787181,0.0001849218,0.0007854691,0.07411008,0.003327905,0.008735024],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02615826,"threshold_uncertainty_score":0.08750814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06378281477870146,"score_gpt":0.3372240241953147,"score_spread":0.2734412094166132,"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."}}