{"id":"W4394168181","doi":"10.6084/m9.figshare.24739581","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); Geography; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","open_science","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001637184,0.0003363724,0.0006092264,0.0006586408,0.0003695012,0.0009249461,0.006023473,0.0004532756,0.2930527],"category_scores_gemma":[0.07625759,0.0002769094,0.0001969792,0.002007863,0.0000203049,0.0003537121,0.001904391,0.000805757,0.4612129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003355663,"about_ca_system_score_gemma":0.0006288035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008719834,"about_ca_topic_score_gemma":0.0002493843,"domain_scores_codex":[0.9951126,0.0001743335,0.0007499434,0.00133535,0.002006005,0.0006217503],"domain_scores_gemma":[0.9901806,0.004257347,0.0004759525,0.004485382,0.0003438284,0.0002569635],"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":[0.000001655849,0.00001333771,2.824077e-7,0.00002218512,0.00003013436,0.00005191047,0.00002179695,0.00004997248,8.404417e-8,8.872318e-7,0.9976658,0.002141914],"study_design_scores_gemma":[0.0001122695,0.0000141048,0.00008836406,0.0006268153,0.00003315055,0.00001325991,0.0001048626,0.0006086119,3.019397e-7,0.0004638769,0.9975875,0.0003469085],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[5.670335e-7,0.0002592884,0.000001760997,0.0002205495,0.001189309,0.0001476117,0.9976617,0.0002310346,0.0002882199],"genre_scores_gemma":[0.000003662121,0.00001325896,0.0001730902,0.000235756,0.001098251,0.00007450292,0.9958736,0.00003719226,0.002490702],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1681602,"threshold_uncertainty_score":0.9999683,"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."}}