{"id":"W6945552008","doi":"10.25545/glkhd9/btgi0p","title":"Heat_Transfer.py","year":2024,"lang":"en","type":"dataset","venue":"UNB Dataverse","topic":"Ionosphere and magnetosphere dynamics","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Process (computing); Identification (biology); Product (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":[],"consensus_categories":[],"category_scores_codex":[0.0009917109,0.005964458,0.002843909,0.003523489,0.001290924,0.004236121,0.005815649,0.00442907,0.1956837],"category_scores_gemma":[0.003746451,0.001721651,0.002661875,0.006548549,0.0009162381,0.003111063,0.004309074,0.003025911,0.3363046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001726173,"about_ca_system_score_gemma":0.001824885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01997632,"about_ca_topic_score_gemma":0.02561045,"domain_scores_codex":[0.9989791,0.0001409879,0.00007068421,0.0003931296,0.0001960715,0.0002200131],"domain_scores_gemma":[0.9984415,0.0003534506,0.00009696071,0.0006463631,0.0002491833,0.0002124853],"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":[0.00005911778,0.00002081437,0.0002938993,0.0005593589,0.00003041338,0.00001024153,0.00001922241,0.0003676384,0.00009872532,0.0003319088,0.996421,0.001787646],"study_design_scores_gemma":[0.000319862,0.00002986992,0.001688845,0.0002501818,0.00002987328,0.00003470448,0.00006147479,0.001388298,0.00073751,0.00243251,0.9929723,0.00005467655],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.00007696644,0.00007628574,0.00009828445,0.00005907962,0.00004436911,0.000008125668,0.9956182,0.003236762,0.000782],"genre_scores_gemma":[0.000595527,0.00008981613,0.000332273,0.00007514294,0.00001615078,0.00006331304,0.9974096,0.0006960581,0.0007220733],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.1956837,"threshold_uncertainty_score":0.6546273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005879658447014465,"score_gpt":0.2262879972182052,"score_spread":0.2204083387711908,"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."}}