{"id":"W6892099727","doi":"10.48660/20080010","title":"Q&A with the day’s speakers - August 12","year":2020,"lang":"en","type":"other","venue":"PIRSA","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Perimeter Institute","funders":"","keywords":"Set (abstract data type); Government (linguistics); Focus (optics); Feature (linguistics)","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":[0.001117439,0.0008348202,0.000493885,0.0009033009,0.003386067,0.007046252,0.001145869,0.004522183,0.8000493],"category_scores_gemma":[0.003085166,0.0005356087,0.0009396108,0.0006382272,0.0007108242,0.002452586,0.003079318,0.003597477,0.7002315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001670241,"about_ca_system_score_gemma":0.004438883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02708461,"about_ca_topic_score_gemma":0.08177516,"domain_scores_codex":[0.9993236,0.00005032731,0.00001387686,0.00006487397,0.0003387509,0.0002086266],"domain_scores_gemma":[0.9984543,0.0001170461,0.00003308694,0.00007104673,0.0006263078,0.0006981573],"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":[0.00002413382,0.00002383346,0.00005096826,0.00001818912,0.00000101905,0.00001751732,0.00001384134,0.0000147743,0.00004926459,0.001622091,0.992421,0.005743346],"study_design_scores_gemma":[0.00001534719,0.00001421749,0.0003042071,0.00003105061,0.000001022273,0.000009291762,0.00006282269,0.00004509057,0.00004871275,0.0007341845,0.9987282,0.000005777761],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004969001,0.0002242731,0.0003113729,0.0040729,0.004221379,0.0001621484,0.003811209,0.00121624,0.9854836],"genre_scores_gemma":[0.0006627993,0.00004379885,0.00007225385,0.0008226839,0.0001075535,0.00002367532,0.0004339881,0.0002001262,0.9976331],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1999507,"threshold_uncertainty_score":0.2852053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01673382120674425,"score_gpt":0.2280341158755725,"score_spread":0.2113002946688282,"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."}}