{"id":"W2912915443","doi":"10.1145/3252744","title":"Session details: Session 4A: Touch","year":2016,"lang":"en","type":"article","venue":"","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Session (web analytics); Computer science; Multimedia; World Wide Web","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":[0.001754166,0.001239797,0.001604568,0.0009532406,0.003188675,0.007049412,0.001583977,0.005307899,0.9082961],"category_scores_gemma":[0.005268034,0.0004451923,0.001771184,0.0009041913,0.000413929,0.003161184,0.004354087,0.004049866,0.77903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001543482,"about_ca_system_score_gemma":0.001925975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001699806,"about_ca_topic_score_gemma":0.004175178,"domain_scores_codex":[0.9991744,0.000123616,0.00003892375,0.0002091195,0.0002383655,0.000215487],"domain_scores_gemma":[0.9960974,0.0005667923,0.000117122,0.0003520502,0.001233288,0.001633393],"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":[0.000147964,0.00002888358,0.00005233499,0.0001087208,0.000004815905,0.00002462156,0.00001679922,0.00002014007,0.0002373133,0.000417283,0.9888466,0.01009455],"study_design_scores_gemma":[0.00004968398,0.00004247419,0.0004951991,0.0001099965,0.000006745106,0.00003127224,0.00006167453,0.00005839522,0.0001876292,0.0007941579,0.9981518,0.0000109829],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00141357,0.002773904,0.002571254,0.02203991,0.09030908,0.001400851,0.01652556,0.005352774,0.8576131],"genre_scores_gemma":[0.005589234,0.0009494174,0.0005501596,0.004173098,0.008720074,0.0004919238,0.004626449,0.001386973,0.9735126],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09170389,"threshold_uncertainty_score":0.1308044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04934656355998229,"score_gpt":0.2188988895843243,"score_spread":0.169552326024342,"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."}}