{"id":"W4207085285","doi":"10.5260/chara.23.3.26","title":"Geoscan","year":2022,"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":"","funders":"","keywords":"Natural resource; Government (linguistics); Library science; Service (business); Geological survey; Computer science; Business; World Wide Web; Environmental resource management; Database; Political science; Geology; Environmental 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003628019,0.00007281822,0.00006901428,0.00001974241,0.0005125775,0.000033929,0.001344122,0.00001228844,0.0005248366],"category_scores_gemma":[0.00003244229,0.00005360725,0.00004336049,0.0002339753,0.00003534274,0.00006386641,0.0008139364,0.0001990844,0.00008529136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002408348,"about_ca_system_score_gemma":0.0000303945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002146735,"about_ca_topic_score_gemma":9.614157e-7,"domain_scores_codex":[0.9992339,0.00007630594,0.00009282878,0.0002017741,0.000189616,0.0002055824],"domain_scores_gemma":[0.9992593,0.00005066709,0.00005476828,0.0005773459,0.00002053188,0.00003738781],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000051758,0.0005157859,0.002293069,0.00007034736,0.0000841873,0.0001811207,0.0164212,0.01101825,0.03686277,0.5269541,0.238937,0.1666104],"study_design_scores_gemma":[0.0001657329,0.00005096367,0.00175665,0.000002012113,0.000002823364,0.0001026487,0.0002993436,0.007333907,0.002537664,0.01423586,0.9733636,0.0001488123],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2822478,0.001297407,0.04715384,0.3580548,0.002770454,0.0009010677,0.00002350669,0.001570909,0.3059802],"genre_scores_gemma":[0.9777443,0.000003900073,0.0004954033,0.001509464,0.00005701232,0.00006466371,0.000003068373,0.000001958968,0.02012028],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7344266,"threshold_uncertainty_score":0.5746592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01313446539174854,"score_gpt":0.2058591910679814,"score_spread":0.1927247256762329,"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."}}