{"id":"W6894376010","doi":"10.5683/sp3/6whgdl","title":"Literature Search Terms","year":2024,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Relation (database); Feature (linguistics); Search engine indexing; Term (time); Matching (statistics)","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":[],"category_scores_codex":[0.0003952956,0.0005230206,0.0004361267,0.0006459896,0.00006667093,0.00081406,0.0009884889,0.0007595348,0.0003967732],"category_scores_gemma":[0.0000932117,0.0004196913,0.000236832,0.0007936897,0.000107931,0.0001176862,0.0004196128,0.001711271,0.04304814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001977979,"about_ca_system_score_gemma":0.0001716147,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01632193,"about_ca_topic_score_gemma":0.01162142,"domain_scores_codex":[0.9973465,0.0001394458,0.0002982789,0.0007754019,0.0008632661,0.0005771209],"domain_scores_gemma":[0.9976546,0.00005493834,0.00006810225,0.001881741,0.0001151751,0.0002254969],"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":[0.0000234159,0.00004296176,9.846258e-7,0.0007126508,0.0001379061,0.001878279,0.00009930525,5.478587e-7,0.00001192512,0.00004842925,0.9968444,0.0001992101],"study_design_scores_gemma":[0.0001118599,0.00003628125,0.00004358573,0.0009173267,0.0001736879,0.0001136981,0.000006709776,0.000004292306,0.00001968409,0.0002518758,0.9978744,0.000446542],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[5.599155e-7,0.001995151,8.532757e-8,0.0001809703,0.0003575596,0.0003163536,0.9931645,0.0003098881,0.003674912],"genre_scores_gemma":[3.887061e-7,0.0003684222,0.00002958786,0.0002298161,0.001643493,0.00006725221,0.9964086,0.0002080684,0.001044387],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04265137,"threshold_uncertainty_score":0.9998255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02068322287784259,"score_gpt":0.3084021710952746,"score_spread":0.287718948217432,"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."}}