{"id":"W2912476226","doi":"10.1145/3246722","title":"Session details: Session 8","year":2014,"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":"University of Toronto","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":[0.00180162,0.001291123,0.001567627,0.0008996662,0.002610093,0.0060594,0.001576148,0.004035181,0.9122034],"category_scores_gemma":[0.005323152,0.0004085503,0.001356211,0.0007166427,0.0003240442,0.002596555,0.002965192,0.003700468,0.8291854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001390086,"about_ca_system_score_gemma":0.001981681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002059464,"about_ca_topic_score_gemma":0.004711714,"domain_scores_codex":[0.9992492,0.0001194212,0.0000364376,0.0001953675,0.0002218877,0.0001776305],"domain_scores_gemma":[0.9964121,0.0003729524,0.0001037556,0.0003008766,0.001315617,0.001494738],"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":[0.0001304901,0.00003058296,0.00004211534,0.00009384284,0.000004529635,0.00001732569,0.0000138525,0.00001864887,0.0001937245,0.0004373186,0.9869854,0.01203209],"study_design_scores_gemma":[0.00004741687,0.00003975835,0.0003062662,0.00008695079,0.000006007316,0.00002767477,0.00003977243,0.00004836923,0.0001618614,0.0006080439,0.9986191,0.000008848466],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001195026,0.002504447,0.002982471,0.01530967,0.07922445,0.001650979,0.02408863,0.006106779,0.8669375],"genre_scores_gemma":[0.004097186,0.0008925302,0.0006531071,0.002906793,0.006223015,0.0005111341,0.005874126,0.001261558,0.9775805],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08779657,"threshold_uncertainty_score":0.1252311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04101423838893974,"score_gpt":0.2127196848317646,"score_spread":0.1717054464428248,"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."}}