{"id":"W2969463201","doi":"10.20383/101.087","title":"Mountain Legacy Project: Grande Cache - Michael E. Nidd","year":2018,"lang":"en","type":"article","venue":"Open MIND","topic":"Environmental and Cultural Studies in Latin America and Beyond","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cache; Geography; Computer science; Operating system","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":[0.003650689,0.0005769897,0.001023529,0.003691646,0.001862356,0.004136676,0.001860599,0.0005666842,0.09426472],"category_scores_gemma":[0.0108061,0.0006474581,0.0003950211,0.006135643,0.0005242876,0.002119766,0.002952116,0.001377957,0.06516468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001873809,"about_ca_system_score_gemma":0.006051436,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2127367,"about_ca_topic_score_gemma":0.3565087,"domain_scores_codex":[0.9975511,0.0003184914,0.0001347371,0.0005987538,0.001148811,0.0002480366],"domain_scores_gemma":[0.9921549,0.0008423926,0.0003184568,0.00145655,0.004272011,0.0009556352],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002279068,0.000008802819,0.001665094,0.00004611468,0.000004111955,0.00001296587,0.000150616,0.00003665603,0.00004621792,0.0006817703,0.9863718,0.01095301],"study_design_scores_gemma":[0.00001633947,0.000003106907,0.003348212,0.0001424323,0.000004169699,0.00001491783,0.0004038814,0.0001958913,0.00008089979,0.0005567844,0.9952222,0.00001116292],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.002395338,0.0006145837,0.002920525,0.003094479,0.0004327653,0.0001791347,0.9461989,0.002983913,0.04118039],"genre_scores_gemma":[0.009247624,0.0007183834,0.01335589,0.0007936123,0.0001376987,0.0007892363,0.9235979,0.003867516,0.04749216],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7872633,"threshold_uncertainty_score":0.4229968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02874846092539334,"score_gpt":0.2947164741519625,"score_spread":0.2659680132265692,"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."}}