{"id":"W6890400392","doi":"10.34990/fk2/l8s81y","title":"UML_SearchStrategyReportingInformation","year":2023,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Statement (logic); Extension (predicate logic); Information system; Table (database); Term (time)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006900841,0.002670959,0.003721684,0.01727349,0.001235355,0.006049891,0.003498667,0.002997712,0.6599763],"category_scores_gemma":[0.05012845,0.002313174,0.00348644,0.01691575,0.000708046,0.00398177,0.005436389,0.001726658,0.236453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004469757,"about_ca_system_score_gemma":0.00989391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01992546,"about_ca_topic_score_gemma":0.03065248,"domain_scores_codex":[0.9943783,0.001478173,0.002349311,0.0008002143,0.0006337242,0.0003602422],"domain_scores_gemma":[0.9758839,0.01594431,0.002622085,0.002050456,0.002760333,0.0007389752],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002129104,0.00001900555,0.0004680637,0.03898586,0.0001738813,0.00005342986,0.0001906566,0.0002359717,0.0001586342,0.002438132,0.9448862,0.01217727],"study_design_scores_gemma":[0.001049433,0.0000260501,0.0009881116,0.01051142,0.0001777321,0.00008179165,0.0001188669,0.000131356,0.0002422847,0.003305373,0.9832932,0.000074352],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004088647,0.0003344369,0.0002554847,0.0001545879,0.00002478427,0.0003781404,0.9958652,0.0005725782,0.002373778],"genre_scores_gemma":[0.001410617,0.002160725,0.004871577,0.0009547874,0.00004944958,0.01182952,0.9720562,0.001736552,0.004930486],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9930992,"threshold_uncertainty_score":0.4850025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04732020068865014,"score_gpt":0.3327081780174967,"score_spread":0.2853879773288466,"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."}}