{"id":"W4401481785","doi":"10.56952/arma-2024-0461","title":"New Afton Convergence Monitoring and Rehabilitation Planning in the B3 Footprint","year":2024,"lang":"en","type":"article","venue":"","topic":"Karst Systems and Hydrogeology","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Footprint; Convergence (economics); Computer science; Rehabilitation; Geology; Medicine; Physical therapy","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":[0.0005547921,0.0002375279,0.0001587866,0.001276204,0.002253165,0.001234664,0.0005339627,0.0006853202,0.003455262],"category_scores_gemma":[0.001010484,0.0001623584,0.0001712171,0.0011182,0.0006509199,0.0006728858,0.001437321,0.0003930244,0.0004420602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002252363,"about_ca_system_score_gemma":0.003177018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1260037,"about_ca_topic_score_gemma":0.3573676,"domain_scores_codex":[0.9995955,0.00005914007,0.00001730718,0.00006838427,0.0001782185,0.00008145708],"domain_scores_gemma":[0.9992813,0.00009825183,0.00009421153,0.00005428611,0.000343623,0.0001281933],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006367301,0.0004673703,0.3752215,0.0003381516,0.00004343718,0.003561577,0.01007459,0.01680606,0.02524308,0.003295859,0.01407868,0.550233],"study_design_scores_gemma":[0.00007122962,0.001176255,0.8339652,0.0005734037,0.00004404665,0.001499304,0.03341668,0.03846884,0.01016881,0.002827941,0.07766677,0.0001215653],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9284039,0.0002733095,0.01766198,0.0006071338,0.00002926223,0.0005019041,0.0008079503,0.0004288288,0.0512858],"genre_scores_gemma":[0.963577,0.0001402492,0.02773429,0.00006340074,0.000004889117,0.0001680221,0.0003622938,0.00003836398,0.007911447],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1260037,"threshold_uncertainty_score":0.2505404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01594456085160254,"score_gpt":0.2506208492254152,"score_spread":0.2346762883738126,"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."}}