{"id":"W6888016165","doi":"10.18710/tiiikx/u9nf30","title":"Bedding_Permian_Asvindalen-Alvrekdalen-Brimerpynten-Narveneset.txt","year":2021,"lang":"en","type":"dataset","venue":"","topic":"Historical and Archaeological Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hudbay Minerals (Canada)","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008525098,0.002393578,0.001599282,0.004499151,0.0008952125,0.004204951,0.002690542,0.002542026,0.2005812],"category_scores_gemma":[0.005289958,0.001004845,0.001187373,0.007441015,0.0005698451,0.001824779,0.00312268,0.001835029,0.246814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001597664,"about_ca_system_score_gemma":0.002123432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03226211,"about_ca_topic_score_gemma":0.05903836,"domain_scores_codex":[0.9992093,0.0001177673,0.00008073142,0.0002494462,0.0001790259,0.0001636603],"domain_scores_gemma":[0.9979877,0.000688377,0.0002167291,0.0004749613,0.0003842151,0.0002478845],"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":[0.00003822277,0.00001138223,0.000418101,0.0006702563,0.00001485487,0.00001738981,0.00003270518,0.0001731548,0.00005662535,0.0005461681,0.996129,0.001892156],"study_design_scores_gemma":[0.0001145682,0.000006907484,0.00159105,0.0003148703,0.00001125879,0.00002380584,0.00007662842,0.0001967839,0.000175097,0.0008372265,0.9966335,0.00001834246],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004476509,0.00003033554,0.00002906499,0.00003090548,0.00001229033,0.000004104455,0.9988658,0.0002193592,0.0007633277],"genre_scores_gemma":[0.000197263,0.00005006232,0.0001596574,0.00002925143,0.000004500516,0.00004337196,0.9985486,0.0001011745,0.0008660651],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7994188,"threshold_uncertainty_score":0.671011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04910225586123659,"score_gpt":0.2401197660890872,"score_spread":0.1910175102278506,"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."}}