{"id":"W3115796979","doi":"10.1145/3252372","title":"Session details: Session 2: Seeing is Believing","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":"Bell (Canada)","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":[0.002394157,0.001542138,0.001851549,0.0005674934,0.003930449,0.006228687,0.00132316,0.006031887,0.7507589],"category_scores_gemma":[0.005775965,0.0004350457,0.001810836,0.0004428475,0.0006281384,0.002725201,0.004398426,0.006413458,0.4416917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001828436,"about_ca_system_score_gemma":0.00255392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00215617,"about_ca_topic_score_gemma":0.006546893,"domain_scores_codex":[0.9990265,0.0002086336,0.0000339746,0.0002171336,0.0002338475,0.0002798207],"domain_scores_gemma":[0.9952271,0.0007102152,0.0001284492,0.0002545471,0.001118262,0.002561295],"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":[0.0002531916,0.00006374564,0.00008486294,0.0001044249,0.000006178012,0.00002889729,0.00005408552,0.0000191927,0.0001856871,0.0004607452,0.9904373,0.008301714],"study_design_scores_gemma":[0.000155715,0.0001758766,0.001524494,0.000242757,0.00002039826,0.0001040799,0.0003096721,0.0001127436,0.0003018403,0.002701524,0.9943242,0.00002668149],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00556044,0.005466906,0.004144432,0.09291833,0.1624923,0.002422405,0.01534048,0.003701363,0.7079532],"genre_scores_gemma":[0.03090761,0.003327062,0.001522202,0.0208744,0.02789778,0.002088275,0.007539288,0.001365886,0.9044775],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2492411,"threshold_uncertainty_score":0.3555121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04735446240053508,"score_gpt":0.2209686297116275,"score_spread":0.1736141673110924,"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."}}