{"id":"W4398460001","doi":"10.7910/dvn/fmk6sq/mxi4ck","title":"46.tif","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003362147,0.0007725387,0.0008047145,0.0003220557,0.0001475006,0.0002483834,0.002267632,0.0005285087,0.2491255],"category_scores_gemma":[0.0009327544,0.0008179327,0.0002618931,0.00055657,0.0002069926,0.0004992918,0.001721542,0.001202654,0.9975376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002491327,"about_ca_system_score_gemma":0.0003628307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000540475,"about_ca_topic_score_gemma":0.0002638553,"domain_scores_codex":[0.9962512,0.0002175758,0.0005721034,0.001244979,0.0009909819,0.0007231535],"domain_scores_gemma":[0.9951928,0.0001006888,0.000444868,0.003598092,0.00009760681,0.000565948],"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":[0.0001241615,0.0001054067,0.000001726244,0.0002100514,0.000208269,0.001122314,0.00001386389,0.000002342514,0.00007169548,0.00001995094,0.9980534,0.00006680247],"study_design_scores_gemma":[0.0007064955,0.0000572532,0.00001064629,0.00009902177,0.0004767908,0.00004310833,0.00003144117,0.00001303064,0.00002853053,0.00001385566,0.9976665,0.0008533265],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[9.534773e-7,4.362154e-7,0.000005658254,0.00000568957,0.001107234,0.000479527,0.9973797,0.0003920606,0.000628775],"genre_scores_gemma":[7.065166e-7,0.0001499217,0.0003302514,0.001221468,0.001069111,0.00004838828,0.9966065,0.0001940612,0.0003795949],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7484121,"threshold_uncertainty_score":0.9994271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0250973866008562,"score_gpt":0.2552945156282744,"score_spread":0.2301971290274182,"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."}}