{"id":"W6913159585","doi":"10.5683/sp3/nwcgma","title":"Supplementary Data - Thesis Chapter 3","year":2023,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Data file; Data collection; Window (computing); Field (mathematics); Limit (mathematics)","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":[],"category_scores_codex":[0.002803756,0.002286706,0.002149085,0.00494284,0.001737751,0.005057263,0.003394355,0.002068483,0.5280403],"category_scores_gemma":[0.02249826,0.001176085,0.001547787,0.007157084,0.0008307074,0.002864849,0.003260992,0.00266242,0.4625275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002392575,"about_ca_system_score_gemma":0.00502672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01339885,"about_ca_topic_score_gemma":0.02872659,"domain_scores_codex":[0.9971212,0.0004335187,0.0003546639,0.0009493273,0.0008165968,0.0003246349],"domain_scores_gemma":[0.9885074,0.004068185,0.0006934472,0.002283373,0.003600426,0.0008470666],"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":[0.00003973712,0.00001525443,0.0002445824,0.0003508734,0.0000113848,0.000009150072,0.00001437962,0.0000774987,0.00007215692,0.0003509038,0.997043,0.001771061],"study_design_scores_gemma":[0.0001558438,0.00002359193,0.001943331,0.0003155806,0.00002535163,0.00006745655,0.00006280995,0.0001773473,0.0003476297,0.002251158,0.994593,0.00003694978],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004958247,0.00004679887,0.0001527418,0.00008136322,0.00007673517,0.00002666623,0.9976993,0.0004975959,0.001369117],"genre_scores_gemma":[0.0003205875,0.00005984415,0.0006896335,0.0001560725,0.0000365896,0.0002240235,0.9949882,0.0004625121,0.003062685],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5280403,"threshold_uncertainty_score":0.6731932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08726916952449004,"score_gpt":0.3281289226497094,"score_spread":0.2408597531252193,"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."}}