{"id":"W6892073021","doi":"10.48660/22110067","title":"Poster Previews","year":2022,"lang":"en","type":"other","venue":"PIRSA","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Perimeter Institute","funders":"","keywords":"Focus (optics); Set (abstract data type); Perspective (graphical); Process (computing)","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001578315,0.0002133943,0.0003184609,0.000171916,0.00001979573,0.00001625563,0.0003300235,0.00009031057,0.570722],"category_scores_gemma":[0.00002673943,0.0001919009,0.0001198123,0.0001481216,0.0000213322,0.00001407291,0.0002009455,0.0002225831,0.1992343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001047102,"about_ca_system_score_gemma":0.00003153093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007522045,"about_ca_topic_score_gemma":0.000145005,"domain_scores_codex":[0.9989761,0.0001263395,0.0001379695,0.0003002007,0.0002626491,0.0001967375],"domain_scores_gemma":[0.9990714,0.00001040152,0.0001846467,0.0006803804,0.00000541715,0.00004776454],"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":[0.000002102528,0.00002510013,0.0001648461,0.00009000052,0.00003936916,0.00001210828,0.00004071531,2.483758e-8,0.00001131675,0.00005791988,0.997448,0.002108532],"study_design_scores_gemma":[0.0001133591,0.00001504521,0.00004967466,0.00006989484,0.00005494836,0.000006216915,0.000002590828,1.620169e-7,0.000001512272,0.0000133058,0.9994555,0.0002178022],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000001596077,0.0195231,4.420919e-7,0.00005087233,0.0003429789,0.0005391436,0.0004431571,0.0004749484,0.9786237],"genre_scores_gemma":[0.000008698844,0.0002402509,0.0001057881,0.0004333028,0.000426059,0.0001399502,0.000259938,0.00238344,0.9960026],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3714877,"threshold_uncertainty_score":0.8013892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0287200792537748,"score_gpt":0.2829875653224633,"score_spread":0.2542674860686885,"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."}}