{"id":"W6931165481","doi":"10.5281/zenodo.16617802","title":"Regional definitions for HTAP3 Fires multi-model project: file on original emissions grid","year":2025,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Statistical Methods in Epidemiology","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"NetCDF; Grid; Variable (mathematics); Set (abstract data type); Grid system; sync; Data source","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":[0.001105328,0.001547845,0.001032431,0.002161884,0.0006035046,0.001652875,0.002332375,0.001293669,0.08711412],"category_scores_gemma":[0.004330653,0.0007543327,0.001056643,0.004763539,0.0003163476,0.001293951,0.001401086,0.002034104,0.08962408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001419321,"about_ca_system_score_gemma":0.001466848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02100869,"about_ca_topic_score_gemma":0.0269906,"domain_scores_codex":[0.9991254,0.0001584067,0.0001094482,0.0002899694,0.0001901281,0.0001267202],"domain_scores_gemma":[0.9980845,0.0005127477,0.0001922611,0.0005656281,0.0005157757,0.0001290546],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003837072,0.0000161492,0.0007829249,0.0002273909,0.00002083619,0.0000190767,0.000019484,0.0006466441,0.00009856149,0.0009606411,0.9955836,0.001586418],"study_design_scores_gemma":[0.000239933,0.00000898757,0.004682599,0.0001359468,0.0000182397,0.00005058419,0.00006466288,0.0008442067,0.0005573494,0.002237453,0.9911314,0.00002866529],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009512385,0.00001252856,0.0001913705,0.00002560639,0.00001285292,0.000007953388,0.9988224,0.0003102446,0.0005218458],"genre_scores_gemma":[0.0004237366,0.00001752941,0.0006747328,0.00002711406,0.000005287905,0.00009239397,0.9980403,0.0002158035,0.0005031267],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08711412,"threshold_uncertainty_score":0.2914258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3796120430373546,"score_gpt":0.4426934339201504,"score_spread":0.0630813908827958,"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."}}