{"id":"W3138778257","doi":"10.1145/3258195","title":"Session details: Adaptation","year":2010,"lang":"en","type":"article","venue":"","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Session (web analytics); Computer science; Adaptation (eye); Psychology; World Wide Web; Neuroscience","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":[0.001571116,0.001191047,0.001410641,0.000894894,0.00169535,0.00415503,0.002185223,0.002415413,0.8954558],"category_scores_gemma":[0.007573104,0.000441409,0.001620925,0.0009337852,0.0003624365,0.002214207,0.003198268,0.002643877,0.79662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006889461,"about_ca_system_score_gemma":0.001121724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002663723,"about_ca_topic_score_gemma":0.004392728,"domain_scores_codex":[0.9990694,0.0001493453,0.00005737188,0.0002213355,0.0002771415,0.0002253966],"domain_scores_gemma":[0.9956856,0.000654113,0.00006496781,0.001239582,0.001085117,0.001270672],"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":[0.0005080703,0.0001550115,0.0001310773,0.0001686872,0.00001177335,0.00004781555,0.00003436872,0.00007342889,0.001055207,0.0005436931,0.9484082,0.04886268],"study_design_scores_gemma":[0.0002114868,0.0001146913,0.001790762,0.0001139927,0.00002259653,0.00009948676,0.00007386688,0.0003490787,0.001264127,0.001315702,0.9946108,0.0000334569],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004163204,0.001337974,0.0096772,0.01013147,0.0561357,0.00332663,0.06214657,0.02512932,0.827952],"genre_scores_gemma":[0.01559924,0.0007142526,0.00272503,0.002313375,0.003835808,0.0008794229,0.02208268,0.004499909,0.9473503],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1045442,"threshold_uncertainty_score":0.1491197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03233380742553729,"score_gpt":0.309951722515684,"score_spread":0.2776179150901467,"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."}}