{"id":"W3034748382","doi":"10.11575/prism/37152","title":"STRUCTURE IMAGING IN THE AREA OF MT. MEAGER","year":2019,"lang":"en","type":"article","venue":"Open MIND","topic":"Geological Modeling and Analysis","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Artificial intelligence; Computer science","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":[0.0000921153,0.0002809153,0.0001174935,0.0007227827,0.001404539,0.0007807572,0.0004909426,0.0004843551,0.003331308],"category_scores_gemma":[0.0004364748,0.0001599075,0.0001148362,0.001028825,0.0005577708,0.0005733059,0.0006437068,0.0004103035,0.0008005194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002251948,"about_ca_system_score_gemma":0.002249069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3845952,"about_ca_topic_score_gemma":0.7829151,"domain_scores_codex":[0.999863,0.000006751266,0.000002033049,0.00004295585,0.00006273077,0.00002257098],"domain_scores_gemma":[0.9999126,0.00001002155,0.00001326362,0.00001173779,0.00003296468,0.00001941854],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004993159,0.0002650598,0.3071985,0.0004649988,0.000127071,0.007349526,0.01846476,0.0207211,0.1782804,0.0269642,0.05492068,0.3847445],"study_design_scores_gemma":[0.00003374281,0.000149526,0.7957006,0.0001548129,0.00008348839,0.002582877,0.009034047,0.03376664,0.02267456,0.003404704,0.1323033,0.0001116888],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.913096,0.0007308093,0.010705,0.00163065,0.00008074442,0.0001008427,0.003517919,0.0009122745,0.06922574],"genre_scores_gemma":[0.9723551,0.0002159549,0.01167686,0.000122493,0.00002192539,0.000027857,0.0009579096,0.00007178904,0.01455018],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3845952,"threshold_uncertainty_score":0.7647132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02715436591232019,"score_gpt":0.240107057575369,"score_spread":0.2129526916630488,"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."}}