{"id":"W6963671406","doi":"10.18738/t8/ejonhj/b9z6nn","title":"IMGEO2_2018155_DEV_JKB2t_X77a.txt","year":2024,"lang":"en","type":"dataset","venue":"Texas Digital Library (University of Texas)","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00005291195,0.0003691067,0.0003762911,0.0002598274,0.00008236351,0.0002164906,0.001578459,0.0002635055,0.1305545],"category_scores_gemma":[0.000009004281,0.0004073381,0.0002984458,0.0005837928,0.0005757355,0.002420214,0.003072225,0.0003433457,0.4071527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005829939,"about_ca_system_score_gemma":0.00003777044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004535649,"about_ca_topic_score_gemma":0.00004964524,"domain_scores_codex":[0.9983706,0.00002410491,0.0001926452,0.0005797034,0.0004335165,0.0003993556],"domain_scores_gemma":[0.9988484,0.00004606934,0.0001719916,0.0007256685,0.000003488568,0.0002044176],"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":[0.00003029665,0.00009026039,0.003269918,0.0001691158,0.00007723954,0.0001679649,0.00001280423,0.000008802773,8.866117e-8,0.0001116028,0.9951909,0.0008710763],"study_design_scores_gemma":[0.0001762531,0.00009774474,0.002016955,0.00008074739,0.0001018854,0.000005414659,0.00001064892,0.00003648894,0.000001262715,0.0007753065,0.9962687,0.0004285618],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009215107,0.00004872816,8.866036e-7,0.00031274,0.0002277195,0.000197836,0.7832777,0.0001471595,0.2148657],"genre_scores_gemma":[0.0005244832,0.0001753689,0.00007986734,0.000221102,0.0001263211,1.467971e-7,0.7864923,0.00003541542,0.2123449],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2765982,"threshold_uncertainty_score":0.9998379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006852613300202929,"score_gpt":0.1772011089969447,"score_spread":0.1703484956967418,"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."}}