{"id":"W3113550509","doi":"10.1145/3248752","title":"Session details: C4: RIIT Lightning Talk Session","year":2016,"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":"Mount Royal University","funders":"","keywords":"Session (web analytics); Lightning (connector); Computer science; Upper-atmospheric lightning; Multimedia; World Wide Web; Lightning strike; Meteorology; Thunderstorm; Power (physics); Geography; Physics","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":[0.002286269,0.001450699,0.00165294,0.001075446,0.004312603,0.008386911,0.002146038,0.005185665,0.8598597],"category_scores_gemma":[0.004163592,0.0004833176,0.001606996,0.0009013888,0.0004131597,0.002622486,0.004341747,0.004403557,0.7828881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002214335,"about_ca_system_score_gemma":0.002800386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004175142,"about_ca_topic_score_gemma":0.009715855,"domain_scores_codex":[0.999068,0.0001229972,0.00003416639,0.0002113881,0.0002915309,0.0002719366],"domain_scores_gemma":[0.9970431,0.00027433,0.00007406074,0.0002578704,0.001020573,0.001330056],"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":[0.0001562953,0.00003230804,0.00005131693,0.00006828154,0.000004609643,0.00002801833,0.00001729498,0.00002421376,0.0002601807,0.000513474,0.9909312,0.007912832],"study_design_scores_gemma":[0.0000512595,0.00005240313,0.0006320532,0.00007821099,0.000008358353,0.00002925317,0.00008430021,0.0001113446,0.0002905004,0.0007097571,0.9979348,0.00001776321],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001381054,0.001684354,0.001934976,0.01430799,0.05108063,0.0008577876,0.01579653,0.004605492,0.9083512],"genre_scores_gemma":[0.005375016,0.0005831827,0.0005765216,0.002270307,0.005735406,0.0003295507,0.005476979,0.001406561,0.9782465],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1401403,"threshold_uncertainty_score":0.1998931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04286398343096352,"score_gpt":0.2148133011453219,"score_spread":0.1719493177143584,"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."}}