{"id":"W7006410437","doi":"","title":"The Use of fire statistics in guiding research and code development","year":2007,"lang":"en","type":"article","venue":"NPARC","topic":"Lepidoptera: Biology and Taxonomy","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quality (philosophy); Data collection; Code (set theory); Demographics; Data quality","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.3363706,0.0009923782,0.001510876,0.01958507,0.006269668,0.01544345,0.003105291,0.002105948,0.002906963],"category_scores_gemma":[0.6654227,0.001710639,0.000954905,0.01864721,0.01059034,0.01960605,0.008654293,0.006708608,0.002103411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0108239,"about_ca_system_score_gemma":0.04094132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03274279,"about_ca_topic_score_gemma":0.03521648,"domain_scores_codex":[0.6848676,0.1950882,0.04108797,0.01049662,0.06446892,0.003990815],"domain_scores_gemma":[0.1935513,0.4676667,0.06251472,0.08820654,0.1811593,0.006901364],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001940933,0.0001940867,0.0973835,0.001589967,0.000247753,0.0002036958,0.0212472,0.007880255,0.001913836,0.1549783,0.0545525,0.6596148],"study_design_scores_gemma":[0.0001235547,0.0006089515,0.10662,0.007927117,0.0002136261,0.0006674834,0.02342477,0.02629302,0.01099226,0.2763569,0.5458901,0.0008822909],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03978068,0.004964177,0.8371096,0.0516764,0.002264355,0.002991985,0.002874868,0.003045912,0.0552919],"genre_scores_gemma":[0.2226676,0.004947354,0.7561368,0.003879527,0.000943871,0.002679514,0.00212628,0.001936441,0.004682662],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3363706,"threshold_uncertainty_score":0.8183733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1123542329980501,"score_gpt":0.3292296113425665,"score_spread":0.2168753783445164,"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."}}