{"id":"W4385351061","doi":"10.5260/chara.25.1.08","title":"Geofacets","year":2023,"lang":"en","type":"article","venue":"The Charleston Advisor","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"MacEwan University","funders":"","keywords":"Earth science; Geothermal gradient; Geology; Resource (disambiguation); Earth system science; Interface (matter); Data science; Environmental resource management; Computer science; Environmental science; Oceanography; Geophysics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003648193,0.00008335638,0.00007682981,0.00003023735,0.0001818721,0.00005216174,0.0009832233,0.00003566148,0.00007077923],"category_scores_gemma":[0.00009387895,0.00005490996,0.00004287529,0.0004568945,0.00004474071,0.00009664691,0.0003658835,0.000111378,0.002334235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007653176,"about_ca_system_score_gemma":0.0000185498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006746234,"about_ca_topic_score_gemma":8.235373e-7,"domain_scores_codex":[0.9992409,0.00003242553,0.00009611031,0.0002086673,0.0001415739,0.0002802722],"domain_scores_gemma":[0.999216,0.00008012098,0.00004006231,0.0005832366,0.00003413868,0.00004647696],"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":[0.00001863598,0.0001356359,0.002119524,0.000142338,0.00007670538,0.0002220328,0.01095164,0.004001549,0.05542789,0.3145274,0.4330664,0.1793102],"study_design_scores_gemma":[0.0002950908,0.00003569994,0.01739693,0.00002255827,0.000004692832,0.00005207743,0.0002126029,0.03848397,0.01517138,0.03865109,0.8893771,0.0002968105],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3827224,0.0003969542,0.03736144,0.3669129,0.002016986,0.0007027151,0.000007522968,0.004776154,0.2051029],"genre_scores_gemma":[0.9634604,0.00003962606,0.0004016975,0.0007163265,0.00009293731,0.00002574733,0.000003991274,0.000002726673,0.03525648],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5807381,"threshold_uncertainty_score":0.9984426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.023338165035698,"score_gpt":0.238244379047642,"score_spread":0.214906214011944,"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."}}