{"id":"W4316169391","doi":"10.1145/3251923","title":"Session details: Paper session 1a","year":2010,"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":"Okanagan College","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":[0.00171466,0.00103959,0.00176102,0.001058456,0.002690305,0.006895285,0.001359495,0.00464855,0.8564175],"category_scores_gemma":[0.004744515,0.0003206508,0.00145937,0.001289519,0.0003600725,0.002507559,0.001800752,0.00294908,0.7074744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001779255,"about_ca_system_score_gemma":0.002276993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002376674,"about_ca_topic_score_gemma":0.00390807,"domain_scores_codex":[0.9991731,0.0001071324,0.00004529793,0.0002183019,0.0002769753,0.0001792696],"domain_scores_gemma":[0.9962,0.000621317,0.0001411103,0.0004619753,0.001313923,0.001261666],"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":[0.0001570574,0.00004877009,0.00009082511,0.0001406439,0.000007921261,0.00002828422,0.00001671507,0.00003665973,0.0002981948,0.001015291,0.9828278,0.01533191],"study_design_scores_gemma":[0.00005251942,0.00004447021,0.0009550767,0.00009161096,0.000009027272,0.00002524003,0.00004742798,0.00007765288,0.0002591794,0.001033507,0.9973949,0.000009397231],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00208437,0.004043531,0.001942732,0.02111905,0.08311771,0.001519559,0.028907,0.002510329,0.8547556],"genre_scores_gemma":[0.007722308,0.001425585,0.0004888622,0.001965241,0.008904175,0.0003052387,0.005953646,0.0006448327,0.9725901],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1435825,"threshold_uncertainty_score":0.2048029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03222141875311042,"score_gpt":0.2145633970826457,"score_spread":0.1823419783295353,"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."}}