{"id":"W6929096184","doi":"10.4230/lipics.approx/random.2022","title":"LIPIcs, Volume 245, APPROX/RANDOM 2022, Complete Volume","year":2022,"lang":"en","type":"other","venue":"DROPS (Schloss Dagstuhl – Leibniz Center for Informatics)","topic":"Psychometric Methodologies and Testing","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Volume (thermodynamics); Work (physics); Compression (physics); Ventricular volume","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001942105,0.00249511,0.001906002,0.004265641,0.001023652,0.009662876,0.001739768,0.001633733,0.7241272],"category_scores_gemma":[0.01717252,0.0008547772,0.0008428916,0.005963754,0.000849146,0.004931326,0.001867099,0.002872017,0.630251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002955533,"about_ca_system_score_gemma":0.001887533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002042618,"about_ca_topic_score_gemma":0.003173209,"domain_scores_codex":[0.9974076,0.0003865646,0.0001554729,0.0004528238,0.00143752,0.0001599615],"domain_scores_gemma":[0.9965329,0.001232343,0.0002015512,0.0006453429,0.0008577636,0.0005300261],"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":[0.00006545545,0.00003334941,0.00007686434,0.0001636445,0.000009132564,0.00001101913,0.000006657458,0.0005469316,0.0001959241,0.006937105,0.9377789,0.05417486],"study_design_scores_gemma":[0.00007926814,0.00003861361,0.0006268151,0.0002359343,0.00001519392,0.0001004031,0.00003768802,0.003688688,0.0008430408,0.05864575,0.9356583,0.00003025419],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001438682,0.006108259,0.04396416,0.007139528,0.01004668,0.0003778167,0.063899,0.01665277,0.8503731],"genre_scores_gemma":[0.01033319,0.003806712,0.01282923,0.00198586,0.004458012,0.0005843736,0.03480042,0.01892981,0.9122723],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2758728,"threshold_uncertainty_score":0.393499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1995273436976443,"score_gpt":0.3852000474209052,"score_spread":0.1856727037232609,"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."}}