{"id":"W6885967839","doi":"10.1371/journal.pone.0307397.s001","title":"Detailed data and statistical analyses.","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Forest Insect Ecology and Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Trap (plumbing); Deciduous; Abundance (ecology); Buprestidae; PEAR","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01026254,0.002163774,0.003409851,0.007006817,0.001360357,0.00268202,0.003057902,0.001657638,0.2651924],"category_scores_gemma":[0.04876353,0.001009992,0.002098252,0.0077711,0.001888941,0.001504037,0.002788421,0.003681166,0.07245436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001501497,"about_ca_system_score_gemma":0.008088954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004561169,"about_ca_topic_score_gemma":0.005025478,"domain_scores_codex":[0.9917578,0.002237877,0.00124171,0.001850091,0.002227141,0.000685377],"domain_scores_gemma":[0.9778718,0.009197448,0.001810292,0.006178168,0.004108968,0.0008333204],"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":[0.002265188,0.0009466284,0.007551248,0.007156339,0.0004741563,0.001047992,0.001934724,0.003546895,0.002334338,0.02186611,0.7563934,0.1944831],"study_design_scores_gemma":[0.0004971865,0.0006039549,0.01332793,0.002695448,0.0002438447,0.0003371288,0.0009929355,0.003988386,0.001965414,0.01558032,0.9596386,0.0001288667],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.01433366,0.001224242,0.1135445,0.002630325,0.006176813,0.02167771,0.7233379,0.01796625,0.09910871],"genre_scores_gemma":[0.08360329,0.002854198,0.3856857,0.003742531,0.001629106,0.1406955,0.2448438,0.01778351,0.1191625],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7348076,"threshold_uncertainty_score":0.887157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08274884611579336,"score_gpt":0.3349072310258032,"score_spread":0.2521583849100099,"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."}}