{"id":"W4412624442","doi":"10.32396/usurj.v10i1.799","title":"fire","year":2025,"lang":"en","type":"article","venue":"USURJ University of Saskatchewan Undergraduate Research Journal","topic":"Chemistry and Stereochemistry Studies","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006529358,0.0001689184,0.0003075326,0.0001214193,0.0009269139,0.00005867769,0.0007215962,0.0001620572,0.000529622],"category_scores_gemma":[0.0001631362,0.0001877486,0.0002225356,0.0004598419,0.0006940179,0.0001358243,0.0003635693,0.001129318,0.00001599528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002945242,"about_ca_system_score_gemma":0.0007601265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002612506,"about_ca_topic_score_gemma":0.0001143025,"domain_scores_codex":[0.9982215,0.00007436368,0.0002442324,0.0002890108,0.0006404062,0.0005304573],"domain_scores_gemma":[0.9983433,0.00033254,0.000126384,0.0003632866,0.0006338121,0.0002006209],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001620799,0.001208909,0.02727684,0.003094929,0.002658329,0.001600032,0.01104823,0.000109174,0.7289934,0.001131961,0.1500764,0.07118093],"study_design_scores_gemma":[0.00552526,0.0001059134,0.0007404477,0.002011307,0.0002001643,0.0003030636,0.2214491,0.0003693295,0.4896566,0.04036597,0.2384362,0.000836576],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7480434,0.000976276,0.000357494,0.009718566,0.00008557534,0.00005535937,0.00003723394,0.0000608617,0.2406652],"genre_scores_gemma":[0.9066104,0.0008362267,0.0002882884,0.00001010064,0.0000723249,1.404505e-7,0.0000073404,0.000007758917,0.09216738],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2393368,"threshold_uncertainty_score":0.7656165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02736097275945931,"score_gpt":0.2846236205429715,"score_spread":0.2572626477835122,"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."}}