{"id":"W2536775692","doi":"10.1130/abs/2016am-282349","title":"SELF-REGULATED KARST MANAGEMENT IN BRITISH COLUMBIA (CANADA): IS IT WORKING?","year":2016,"lang":"en","type":"article","venue":"Abstracts with programs - Geological Society of America","topic":"Invertebrate Taxonomy and Ecology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Karst; Computer science; Geology; Geography; Archaeology","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":[0.0008469195,0.0001969712,0.0003743757,0.0006167526,0.003048646,0.002046969,0.001736348,0.001301316,0.002788197],"category_scores_gemma":[0.002662539,0.0002579533,0.0002471417,0.001317861,0.002741836,0.0009204008,0.001436087,0.001399823,0.0001982685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04372453,"about_ca_system_score_gemma":0.08149518,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9960516,"about_ca_topic_score_gemma":0.999285,"domain_scores_codex":[0.9988268,0.0001293125,0.00004306524,0.0001581532,0.0001963719,0.000646324],"domain_scores_gemma":[0.9964149,0.0002546626,0.0004287601,0.00009001435,0.001341926,0.00146972],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003880032,0.0004935308,0.8844939,0.0004302594,0.000193525,0.0004755552,0.01310982,0.0009579207,0.001267188,0.001512122,0.01801731,0.07866075],"study_design_scores_gemma":[0.00002281057,0.00004029564,0.979067,0.0001482499,0.00003998602,0.00003223352,0.01542462,0.0005604936,0.0001275112,0.000214352,0.004290869,0.00003145047],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9839534,0.001371968,0.000142584,0.008880109,0.00008813036,0.00004906157,0.0007281733,0.00002151285,0.004765091],"genre_scores_gemma":[0.9947566,0.0006746842,0.0002678335,0.0009080418,0.0000168015,0.00001754122,0.0003028761,0.000006182897,0.003049449],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04372453,"threshold_uncertainty_score":0.3172451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01478247395915058,"score_gpt":0.1917098408581809,"score_spread":0.1769273668990303,"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."}}