{"id":"W4205986333","doi":"10.1145/3385601","title":"Session details: Lightning Talks 1","year":2020,"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":"University of Toronto","funders":"","keywords":"Session (web analytics); Lightning (connector); Computer science; Aeronautics; World Wide Web; Engineering; Physics; Power (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":[0.002011924,0.001237732,0.001474891,0.00106032,0.003375825,0.006798421,0.001649342,0.00459891,0.8792452],"category_scores_gemma":[0.005849731,0.00041417,0.001370124,0.0008675035,0.0003903887,0.002943942,0.00355773,0.004387147,0.7884802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001465638,"about_ca_system_score_gemma":0.001856797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001684667,"about_ca_topic_score_gemma":0.004379003,"domain_scores_codex":[0.9991505,0.000113148,0.00003455791,0.0002036128,0.0002824555,0.0002157626],"domain_scores_gemma":[0.9960999,0.0005171928,0.00009917556,0.000279089,0.001298133,0.001706479],"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":[0.00008884918,0.00002072642,0.0000290513,0.00006056636,0.000002493624,0.00001748277,0.00001202673,0.00001174303,0.0001164174,0.0003422586,0.9916601,0.007638285],"study_design_scores_gemma":[0.00003282456,0.00003226986,0.0003282974,0.00009873645,0.000004669776,0.00002674748,0.00006622388,0.00004034745,0.0001085352,0.0005861566,0.9986653,0.000009791133],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001093156,0.002639295,0.001734529,0.02320179,0.1231299,0.00082302,0.0136209,0.004310281,0.8294471],"genre_scores_gemma":[0.003443479,0.0009603282,0.0004223782,0.004455897,0.01112935,0.0002911583,0.004152897,0.001183711,0.9739609],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1207548,"threshold_uncertainty_score":0.172242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07250419217239826,"score_gpt":0.205594918857096,"score_spread":0.1330907266846978,"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."}}