{"id":"W2914818188","doi":"10.5555/2872518.3251212","title":"Session details: BigScholar 2015","year":2015,"lang":"en","type":"article","venue":"The Web Conference","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Session (web analytics); Presentation (obstetrics); Library science; Inclusion (mineral); Pleasure; World Wide Web; Big data; Computer science; State (computer science); Political science; Sociology; Psychology; Medicine; Social science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01062977,0.001357335,0.00149147,0.002291663,0.004032286,0.01104769,0.002658111,0.004243066,0.6834679],"category_scores_gemma":[0.009753902,0.0006086778,0.001593584,0.001900936,0.0007448672,0.00482572,0.006961903,0.004147065,0.5489188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002800669,"about_ca_system_score_gemma":0.004909425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003907955,"about_ca_topic_score_gemma":0.01077159,"domain_scores_codex":[0.9974285,0.0004339856,0.0001472534,0.0005102028,0.001001651,0.0004785159],"domain_scores_gemma":[0.9894331,0.0009291503,0.000414552,0.000913435,0.002593635,0.005716081],"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":[0.00005615574,0.0000147808,0.00005503594,0.00004644862,0.000002500231,0.00001087456,0.00001554235,0.0000126683,0.00007413619,0.0005859425,0.994054,0.005071981],"study_design_scores_gemma":[0.0000243599,0.00001422781,0.0005283902,0.00006022874,0.000001785974,0.00000847863,0.00003687142,0.00002942307,0.00006503231,0.000505844,0.998715,0.00001033048],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00234593,0.006989064,0.006041876,0.08326724,0.1603049,0.003086503,0.07836617,0.01033489,0.6492634],"genre_scores_gemma":[0.008421472,0.002801047,0.002607286,0.0161403,0.02925771,0.00194972,0.03805185,0.00456547,0.8962052],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6834679,"threshold_uncertainty_score":0.4514946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07882610516053719,"score_gpt":0.3063348120394692,"score_spread":0.227508706878932,"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."}}