{"id":"W4393759798","doi":"10.5281/zenodo.10298782","title":"Mahjong Tile #6","year":2022,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Geological Modeling and Analysis","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tile; Environmental science; Geology; Geography; Archaeology","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":[0.0005085034,0.002310425,0.001305063,0.002257149,0.0009090776,0.00208547,0.00262342,0.001646131,0.07465792],"category_scores_gemma":[0.002487107,0.0006087715,0.001296832,0.004139565,0.0004153092,0.001562433,0.002014498,0.001562673,0.137833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001034374,"about_ca_system_score_gemma":0.001705714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02883132,"about_ca_topic_score_gemma":0.08541311,"domain_scores_codex":[0.9993737,0.00007555317,0.0000500567,0.0002223322,0.000152577,0.0001256993],"domain_scores_gemma":[0.9992409,0.0001297293,0.00006158551,0.0002354049,0.0002192537,0.0001130873],"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":[0.0000780327,0.00001993599,0.0009293313,0.0004993809,0.00001707987,0.0000257717,0.00003219094,0.0002873989,0.0001784269,0.0004577667,0.9944109,0.003063581],"study_design_scores_gemma":[0.00009768164,0.00001566739,0.0028399,0.0001769015,0.00001548604,0.00005651153,0.0001221016,0.0004777494,0.0004176938,0.0008409798,0.9949158,0.00002343168],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003206315,0.00009377665,0.0001385564,0.00004379232,0.0000353344,0.00001385693,0.9967254,0.001046746,0.001581818],"genre_scores_gemma":[0.0005824118,0.00005308539,0.0004221881,0.00002449306,0.0000047261,0.0000434259,0.9978195,0.0001500529,0.0009000549],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07465792,"threshold_uncertainty_score":0.2497556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03901699544931306,"score_gpt":0.2240888492840826,"score_spread":0.1850718538347696,"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."}}