{"id":"W6967311502","doi":"10.5281/zenodo.10167204","title":"Eumicrota socia NB, NS, ON, PE, QC AR, DC, FL, IL, IN, KS, KY, LA, MA, ME, MD, MI, MO, NY, NC, NH (NSR","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Forest Insect Ecology and Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Agriculture and Agri-Food Canada; Canadian Forest Service","funders":"","keywords":"Dead tree; Black spruce; Debris; Snag; Snow; Wildlife; Floodplain","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.000246656,0.00120425,0.0004334459,0.002337005,0.002025138,0.0006866581,0.0007058205,0.0007263165,0.07881926],"category_scores_gemma":[0.0003710102,0.0002375275,0.0002054245,0.001865199,0.0006941083,0.001340709,0.001481151,0.0007246048,0.02443676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001652036,"about_ca_system_score_gemma":0.001240957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02420063,"about_ca_topic_score_gemma":0.06958234,"domain_scores_codex":[0.9996711,0.00003533091,0.00002096192,0.00009488372,0.0001099317,0.00006788908],"domain_scores_gemma":[0.9997302,0.00001827881,0.00006408861,0.00002248482,0.0001098033,0.00005514834],"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":[0.0003578651,0.0000997759,0.01680862,0.0007512944,0.00005469642,0.001146508,0.001399997,0.0001784885,0.01518584,0.01280428,0.2069922,0.7442204],"study_design_scores_gemma":[0.000009278298,0.00003455799,0.02135231,0.0001158907,0.0000109375,0.0005816487,0.0004206611,0.00005063685,0.0004285165,0.0002869044,0.976702,0.000006660905],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03485644,0.01517871,0.003555554,0.001203511,0.001337582,0.0003594522,0.009557704,0.0007271552,0.9332239],"genre_scores_gemma":[0.4655122,0.01491197,0.01027852,0.002815551,0.001248784,0.000678986,0.0168363,0.0004939681,0.4872237],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07881926,"threshold_uncertainty_score":0.2636767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01885896818059991,"score_gpt":0.2289878966040646,"score_spread":0.2101289284234647,"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."}}