{"id":"W3011214452","doi":"10.1029/2020eo140214","title":"Searching for Mount Meager’s Geothermal Heart","year":2020,"lang":"en","type":"article","venue":"Eos","topic":"Winter Sports Injuries and Performance","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mount; Geothermal gradient; Geology; Computer science; Geophysics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000729832,0.00005386425,0.0001162548,0.00001300625,0.00004527835,0.0000108624,0.00004030989,0.0000213779,0.0003223257],"category_scores_gemma":[0.00002193015,0.00004346535,0.0000607384,0.00003323074,0.00001800053,0.00004373175,0.00001933171,0.00009729472,0.0000546614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001485292,"about_ca_system_score_gemma":0.00002698351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000272897,"about_ca_topic_score_gemma":0.000001606796,"domain_scores_codex":[0.9995553,0.000003419452,0.00009660854,0.0001063455,0.00009391239,0.0001443374],"domain_scores_gemma":[0.9997594,0.00001317326,0.00001077145,0.0000941615,0.00002130107,0.0001011681],"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":[0.005457613,0.0003850457,0.1181238,0.002759999,0.0004472415,0.0002147052,0.0281106,0.0004116422,0.1252831,0.009642767,0.4909706,0.2181928],"study_design_scores_gemma":[0.0005151645,0.0003930152,0.0163084,0.00003931639,0.0000161149,0.00001579391,0.00009456092,0.005759228,0.007041742,0.00001692249,0.9697237,0.00007605924],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9680846,0.000122542,0.001837095,0.02418991,0.0001877047,0.0003886099,0.00001218684,0.00007958903,0.005097722],"genre_scores_gemma":[0.9880948,0.000004508024,0.001823212,0.008180628,0.0008680659,0.00001346333,0.000009134274,0.00001490973,0.0009912733],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.478753,"threshold_uncertainty_score":0.352924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04263648240096393,"score_gpt":0.3149740560899124,"score_spread":0.2723375736889485,"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."}}