{"id":"W6913011668","doi":"10.5683/sp3/ppv82t","title":"Product Highlights","year":2002,"lang":"en","type":"dataset","venue":"Borealis","topic":"Probability and Statistical Research","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Product (mathematics); Presentation (obstetrics); Work (physics); File Transfer Protocol; Dynamics (music)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004688598,0.0002442331,0.0004227115,0.00009420906,0.00009575093,0.00006784125,0.0005824932,0.000226748,0.001467124],"category_scores_gemma":[0.005969808,0.0001897211,0.00009660502,0.000123155,0.0001475246,0.00004205544,0.0001539515,0.0004935557,0.0002472939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008609073,"about_ca_system_score_gemma":0.00007981028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005945078,"about_ca_topic_score_gemma":0.00742434,"domain_scores_codex":[0.9979097,0.0001552707,0.0003499543,0.000457,0.0007080439,0.0004199959],"domain_scores_gemma":[0.9973999,0.000855629,0.00009092828,0.001336253,0.0001365972,0.0001807049],"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":[0.000009811852,0.000211451,1.186113e-7,0.0006130207,0.00003564686,0.00007260077,0.00001207652,1.860968e-8,2.793298e-7,0.02797848,0.9701502,0.0009163451],"study_design_scores_gemma":[0.00008679596,0.00004217742,0.000007516948,0.00005127762,0.00004674325,0.000005967711,8.812898e-7,0.000004489275,0.00001204115,0.1567434,0.842815,0.0001837115],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[4.407424e-7,0.0001269431,0.00006299507,0.0008194011,0.00007183349,0.0004048491,0.995055,0.00005790473,0.003400641],"genre_scores_gemma":[6.468055e-7,0.000359329,0.001879683,0.00005630112,0.0003283241,0.00006727366,0.9958131,0.00001962675,0.00147571],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1287649,"threshold_uncertainty_score":0.9994457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.11638053564724,"score_gpt":0.3735944350895665,"score_spread":0.2572138994423265,"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."}}