{"id":"W3108966685","doi":"10.4095/327565","title":"Geoenvironmental characterization of ferroniobium slag, Saint Lawrence Columbium Mine, Oka, Québec","year":2020,"lang":"en","type":"report","venue":"","topic":"Geotechnical and Geomechanical Engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"SAINT; Slag (welding); Characterization (materials science); Geology; Mining engineering; Environmental science; Metallurgy; History; Materials science; Art history; Nanotechnology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000129041,0.0004100899,0.000694245,0.0000799784,0.00002549625,0.0000219281,0.0003197803,0.0004586809,0.0009448195],"category_scores_gemma":[0.00008002009,0.0004356177,0.0002226287,0.0001950775,0.00004475937,0.00007961567,0.0001701583,0.0005522766,0.0001301753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005580042,"about_ca_system_score_gemma":0.0001480123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006152292,"about_ca_topic_score_gemma":0.001838637,"domain_scores_codex":[0.9979032,0.00001046895,0.0007291561,0.0003853356,0.0006026534,0.0003691633],"domain_scores_gemma":[0.9991786,0.00002903498,0.0001691093,0.000372166,0.0000528955,0.0001981726],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004185099,0.000383183,0.0005994373,0.008597382,0.0009271458,0.0001139868,0.0001860768,0.1166323,0.8019142,0.0003617469,0.01795772,0.05228502],"study_design_scores_gemma":[0.0004106931,0.0002378004,0.008145695,0.0004230232,0.0001915368,0.00005273857,0.00001939883,0.0656969,0.01710114,0.00002455638,0.906202,0.001494504],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3496881,0.003239401,0.4961054,0.002581663,0.01192812,0.004853429,0.002433942,0.008119852,0.1210501],"genre_scores_gemma":[0.9902941,0.001176645,0.0005891781,0.00006352062,0.0004836846,0.00008867243,0.0007945432,0.0001845642,0.006325097],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8882443,"threshold_uncertainty_score":0.9999685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01094286540743201,"score_gpt":0.1869160189638417,"score_spread":0.1759731535564097,"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."}}