{"id":"W4398538204","doi":"10.7910/dvn/k0oyqf/26udif","title":"can_polar.tab","year":2019,"lang":"tr","type":"dataset","venue":"Harvard Dataverse","topic":"Science, Research, and Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Polar; Physics; Astronomy","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","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002282847,0.0009570968,0.001657713,0.001029474,0.0003291106,0.0001905405,0.002296216,0.0008200219,0.1511253],"category_scores_gemma":[0.002355464,0.000798739,0.0003518731,0.001035733,0.001137832,0.0005747076,0.001359492,0.002358515,0.7545697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005450873,"about_ca_system_score_gemma":0.002696419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003964786,"about_ca_topic_score_gemma":0.0003896987,"domain_scores_codex":[0.9918213,0.0002044889,0.0009863429,0.001836876,0.003056794,0.002094198],"domain_scores_gemma":[0.9923252,0.0003490956,0.0004329721,0.004501287,0.0004845606,0.001906907],"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":[0.000491431,0.0003778721,0.0007151464,0.001325195,0.0002951117,0.001485581,0.0002083596,8.069179e-7,0.0004330395,0.00007336113,0.9933545,0.001239583],"study_design_scores_gemma":[0.004862809,0.0009062337,0.001710348,0.001611329,0.0009826514,0.0003114782,0.001475716,0.0001433687,0.0001236765,0.000006719521,0.9871167,0.000748949],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008617277,0.00005757819,0.00001962007,0.0001145903,0.006286618,0.001689488,0.9849209,0.00006949944,0.005980029],"genre_scores_gemma":[0.0005014517,0.006417899,0.0001516651,0.003833079,0.00481352,0.00003898273,0.9523062,0.00008989702,0.03184737],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6034443,"threshold_uncertainty_score":0.9999431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04133003707074528,"score_gpt":0.3233584272904589,"score_spread":0.2820283902197137,"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."}}