{"id":"W2912968668","doi":"10.1145/3255810","title":"Session details: Session 5c: collaborative complex personalization","year":2014,"lang":"en","type":"article","venue":"","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Session (web analytics); Computer science; Personalization; 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":[],"category_scores_codex":[0.003741727,0.001407681,0.00171174,0.0006815945,0.002545574,0.005188391,0.001679964,0.003511906,0.6554068],"category_scores_gemma":[0.006943326,0.0004112245,0.002242203,0.0008431342,0.0004009152,0.002411396,0.00473082,0.002944534,0.3735442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001081178,"about_ca_system_score_gemma":0.002850903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002128347,"about_ca_topic_score_gemma":0.00367885,"domain_scores_codex":[0.9984167,0.0003622536,0.00006258976,0.0003289505,0.0004909579,0.0003385429],"domain_scores_gemma":[0.9931651,0.001293808,0.0001536279,0.001479737,0.001616872,0.002290741],"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":[0.001074061,0.0002628143,0.0004023664,0.000338392,0.0000445983,0.00006424201,0.0001176204,0.0002866978,0.002684142,0.00150195,0.9343771,0.05884596],"study_design_scores_gemma":[0.0002543733,0.0004215195,0.002421007,0.0001546771,0.00005953435,0.0001389166,0.0001743371,0.001558596,0.003534227,0.004615309,0.9866151,0.000052521],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01466088,0.005788898,0.08705242,0.02766018,0.0545446,0.009040873,0.0413627,0.01892512,0.7409642],"genre_scores_gemma":[0.08186284,0.002739838,0.02403045,0.004934055,0.01082533,0.003306042,0.02954444,0.004421634,0.8383353],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6554068,"threshold_uncertainty_score":0.4915204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1526123970376667,"score_gpt":0.4061406597085946,"score_spread":0.2535282626709279,"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."}}