{"id":"W4393816740","doi":"10.5281/zenodo.6244568","title":"New SRFs of NE Tibet-2022","year":2022,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Geological Studies and Exploration","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Association of General Surgeons","funders":"","keywords":"Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007199678,0.001612683,0.001155766,0.00388695,0.0005711344,0.001466576,0.001702428,0.0009659008,0.03450299],"category_scores_gemma":[0.00284425,0.0004978068,0.001027973,0.009770945,0.0002755782,0.000952808,0.001089652,0.001094445,0.03958893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001044675,"about_ca_system_score_gemma":0.002376765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07871667,"about_ca_topic_score_gemma":0.1368678,"domain_scores_codex":[0.9995127,0.00005857497,0.00005865971,0.0001455567,0.0001275714,0.00009701382],"domain_scores_gemma":[0.9990196,0.0001242662,0.0001028214,0.000203636,0.0004163228,0.0001333729],"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":[0.0001419414,0.00002660751,0.003899299,0.0006112157,0.00008923349,0.00005740019,0.0000354274,0.0008816955,0.0002396254,0.0005790517,0.9890493,0.004389279],"study_design_scores_gemma":[0.0002930303,0.00001861425,0.024291,0.0002952599,0.00006083695,0.00008869723,0.0001082914,0.0009822806,0.0003662009,0.0009731582,0.9724816,0.00004106036],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003458388,0.00005903879,0.00004019931,0.0000226839,0.00002458333,0.00000434413,0.9988938,0.0001134072,0.0004960475],"genre_scores_gemma":[0.0006100873,0.00002681003,0.000102803,0.00001390913,0.000005924008,0.0000192134,0.9986581,0.0000331773,0.0005299171],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07871667,"threshold_uncertainty_score":0.156517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0395578832365758,"score_gpt":0.2187479485632557,"score_spread":0.1791900653266799,"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."}}