{"id":"W2920554262","doi":"10.5555/2872518.3251216","title":"Session details: OD4LS'16","year":2016,"lang":"en","type":"article","venue":"The Web Conference","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Computer science; World Wide Web; USable; Semantic search; Service (business); Session (web analytics); Geolocation; Semantic Web; Data science; Information retrieval","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.004562002,0.001284213,0.001443172,0.001189643,0.003090905,0.008578917,0.002654559,0.003394595,0.7312985],"category_scores_gemma":[0.003733612,0.0005397954,0.001466466,0.001449475,0.0006387426,0.004926406,0.006764053,0.003105468,0.6553243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002754925,"about_ca_system_score_gemma":0.003740698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007253411,"about_ca_topic_score_gemma":0.01617957,"domain_scores_codex":[0.9983755,0.000285995,0.00007715376,0.000340834,0.000603009,0.000317408],"domain_scores_gemma":[0.9972078,0.0001874599,0.00004252063,0.0004121584,0.0009547836,0.001195174],"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":[0.0001506535,0.00006873019,0.00009790363,0.000137784,0.000005769237,0.00002478621,0.00004416909,0.00008063439,0.0006287153,0.001659781,0.9610777,0.03602325],"study_design_scores_gemma":[0.00001973994,0.00001669143,0.00009364747,0.00003157347,0.000001934567,0.000009138844,0.00004519349,0.00009692249,0.0001534525,0.0003658124,0.9991604,0.000005611624],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002219814,0.002912994,0.02092994,0.01397854,0.04379672,0.001691852,0.03390199,0.02133043,0.8592376],"genre_scores_gemma":[0.003918581,0.001023695,0.005321779,0.002425066,0.00164456,0.0004180005,0.02030456,0.00419815,0.9607455],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2687015,"threshold_uncertainty_score":0.38327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03571743253908267,"score_gpt":0.2535780763176482,"score_spread":0.2178606437785656,"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."}}