{"id":"W6902976492","doi":"10.7939/dvn/kcnxex/jfqcmd","title":"diawri_dimg.h90","year":2020,"lang":"en","type":"dataset","venue":"University of Alberta Library","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00002874699,0.0004038018,0.0006648562,0.0003730327,0.0001121145,0.0000333538,0.001872798,0.0004452738,0.009632779],"category_scores_gemma":[0.00006520182,0.0005244056,0.0003329514,0.0005812292,0.000319461,0.001105066,0.001313145,0.0005712762,0.04409642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003659063,"about_ca_system_score_gemma":0.0004044623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005943555,"about_ca_topic_score_gemma":0.0007547465,"domain_scores_codex":[0.9983468,0.0001467323,0.0002049726,0.0006048221,0.0003655671,0.0003311084],"domain_scores_gemma":[0.9979877,0.0003294268,0.0004048128,0.0009066649,0.00002207956,0.0003492473],"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":[0.0002387692,0.0001250408,0.0001473986,0.0002313402,0.00023984,0.0002534698,0.000285476,0.000002357725,0.000004980055,0.00008565035,0.998362,0.00002366849],"study_design_scores_gemma":[0.0005722437,0.00008266401,0.0002047853,0.0001216039,0.0002774562,0.000004336218,0.0002165596,0.00000778381,0.00003464143,0.00004111015,0.9979563,0.0004804949],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001939405,0.00006746113,5.416671e-7,0.0007731338,0.0001692031,0.0002239402,0.9844497,0.0001190845,0.01400298],"genre_scores_gemma":[0.00001975299,0.0002516742,0.0002723017,0.0003191764,0.0001296683,7.352811e-8,0.9910451,0.00008023772,0.007882011],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03446364,"threshold_uncertainty_score":0.9997208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008815266952878117,"score_gpt":0.1713471848459619,"score_spread":0.1625319178930838,"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."}}