{"id":"W4394093606","doi":"10.6084/m9.figshare.24739581.v1","title":"CS Home Training data.xlsx","year":2023,"lang":"en","type":"dataset","venue":"Figshare","topic":"Scheduling and Timetabling Solutions","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Training (meteorology); Physics; Meteorology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002160786,0.002147416,0.002299505,0.003104851,0.001523774,0.003794144,0.004089847,0.002499949,0.9016957],"category_scores_gemma":[0.01066412,0.00133323,0.0009959788,0.003764117,0.0008948662,0.002971394,0.003803742,0.002837969,0.6642076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001221891,"about_ca_system_score_gemma":0.002897674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005248634,"about_ca_topic_score_gemma":0.006819322,"domain_scores_codex":[0.9989243,0.0001185049,0.0001184374,0.0002828133,0.0003452797,0.0002105773],"domain_scores_gemma":[0.995549,0.001568872,0.0002195851,0.0009116817,0.001197551,0.0005533156],"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":[0.0002653689,0.00009364805,0.0004850316,0.001199014,0.00002333099,0.00006861062,0.0001041565,0.0002374291,0.0005372775,0.001479897,0.9770975,0.01840873],"study_design_scores_gemma":[0.0004040989,0.00008309893,0.002050298,0.0005603302,0.00002323626,0.00009119271,0.0001301626,0.0006753283,0.001819623,0.005455226,0.9886396,0.0000678998],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006949254,0.0001139224,0.00299479,0.0006379153,0.0005765503,0.0004085924,0.9289287,0.02824278,0.0374018],"genre_scores_gemma":[0.01403787,0.0004640112,0.02037549,0.002131887,0.000333215,0.003932509,0.8071275,0.04326507,0.1083324],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9016957,"threshold_uncertainty_score":0.1402192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7414195884044866,"score_gpt":0.4999340654792643,"score_spread":0.2414855229252224,"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."}}