{"id":"W6922057116","doi":"10.7910/dvn/bbyag3","title":"PsiloQA","year":2025,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Optech (Canada)","funders":"","keywords":"Identification (biology); Process (computing); Product (mathematics); Set (abstract data type)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001972286,0.005091802,0.002080953,0.007855346,0.001389859,0.004765775,0.003958019,0.003382836,0.4051062],"category_scores_gemma":[0.0134853,0.00119489,0.002318533,0.008218181,0.001169072,0.003028414,0.004026742,0.002939798,0.5010363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001791051,"about_ca_system_score_gemma":0.003251734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02009367,"about_ca_topic_score_gemma":0.03263101,"domain_scores_codex":[0.9980716,0.0004084439,0.0001865689,0.00053288,0.0004503363,0.0003502206],"domain_scores_gemma":[0.9949994,0.001507782,0.0002990724,0.001454472,0.001110502,0.0006289239],"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":[0.00002557566,0.00001262756,0.0001089521,0.0002453387,0.00001061972,0.000006440468,0.0000111105,0.0001168476,0.00004711464,0.0001660309,0.9981899,0.001059429],"study_design_scores_gemma":[0.0003910639,0.00003881079,0.001137214,0.0003577482,0.00003317182,0.00004333466,0.000104705,0.0006777883,0.0004647184,0.0029675,0.9937376,0.00004634982],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007803985,0.00005827943,0.00008121952,0.0001265808,0.00006430332,0.00001668634,0.9971128,0.001321197,0.001140928],"genre_scores_gemma":[0.0003046616,0.0000618331,0.000308014,0.0001267727,0.00002151222,0.00008152782,0.9967303,0.0005382224,0.001827245],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4051062,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01594554300147418,"score_gpt":0.2662844331789941,"score_spread":0.2503388901775199,"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."}}