{"id":"W2997756724","doi":"10.5555/3374362.3374424","title":"Session details: Session H1: Prediction, Adaptation, and Bias","year":2018,"lang":"en","type":"article","venue":"Graphics Interface","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Session (web analytics); Computer science; Adaptation (eye); Psychology; World Wide Web; Neuroscience","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":[],"category_scores_codex":[0.004671901,0.001974422,0.002159337,0.0007864026,0.001956726,0.005002802,0.001432925,0.00488101,0.8250135],"category_scores_gemma":[0.0215218,0.0006940856,0.001352003,0.0009291591,0.0004499129,0.003392212,0.003297741,0.004330087,0.5063841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009950972,"about_ca_system_score_gemma":0.002084979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002448566,"about_ca_topic_score_gemma":0.004717001,"domain_scores_codex":[0.9990042,0.0003368437,0.00004360739,0.0002165239,0.0002296886,0.000169111],"domain_scores_gemma":[0.9887571,0.004028146,0.0003128589,0.001138539,0.003585031,0.002178408],"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":[0.0002061538,0.00004076579,0.000141262,0.00005597257,0.000007269128,0.000009678911,0.00002812658,0.0001144176,0.000245163,0.000279646,0.9839462,0.01492534],"study_design_scores_gemma":[0.001061141,0.0002310805,0.003481331,0.0001816912,0.00004737258,0.00007088297,0.0001814137,0.004572729,0.001648613,0.01201212,0.9763873,0.0001242498],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.008764306,0.002971419,0.08705262,0.08242951,0.09574981,0.008927632,0.1445321,0.09482189,0.4747507],"genre_scores_gemma":[0.06366191,0.00181281,0.03975941,0.01887125,0.03807211,0.01307648,0.07296477,0.0255504,0.7262308],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8250135,"threshold_uncertainty_score":0.2495969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09694097613892941,"score_gpt":0.2489377388753014,"score_spread":0.1519967627363719,"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."}}