{"id":"W6930993147","doi":"10.5281/zenodo.2636098","title":"simpson-lab/dugout-n2o: First public version of data set","year":2019,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Dental Radiography and Imaging","field":"Dentistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Data set; Set (abstract data type); Context (archaeology); Data quality; Data collection","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":[0.006260779,0.002343965,0.002486129,0.004675838,0.001997363,0.007141349,0.00410564,0.003568708,0.5350948],"category_scores_gemma":[0.05273161,0.001524909,0.002183393,0.005638317,0.001440199,0.003556056,0.005491394,0.003293222,0.3795629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002056184,"about_ca_system_score_gemma":0.006894527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01062613,"about_ca_topic_score_gemma":0.01374897,"domain_scores_codex":[0.9942237,0.001082532,0.0008277847,0.0008878314,0.002130176,0.0008481022],"domain_scores_gemma":[0.9719062,0.01031887,0.001301118,0.0091357,0.005539824,0.001798197],"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":[0.0006261142,0.0000647027,0.001275172,0.0007759185,0.00006464998,0.00006421321,0.00008582579,0.0002485454,0.0004713096,0.001657543,0.9887633,0.005902758],"study_design_scores_gemma":[0.0008374621,0.0000781456,0.004071545,0.0005079687,0.00005893532,0.0001218687,0.0002147544,0.0005788711,0.00161825,0.00638309,0.9853917,0.0001374554],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004304329,0.00004927904,0.001002207,0.0003650823,0.0004505519,0.0001313703,0.9893776,0.003149837,0.005043636],"genre_scores_gemma":[0.004337724,0.0001030158,0.004089141,0.0003695533,0.0001417862,0.001091029,0.9732707,0.00720626,0.009390939],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5350948,"threshold_uncertainty_score":0.6631308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05783676049175433,"score_gpt":0.2783700597790003,"score_spread":0.2205332992872459,"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."}}