{"id":"W6949578773","doi":"10.5281/zenodo.14597219","title":"Neomymar soror","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Biological Control of Invasive Species","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Distribution (mathematics); Object (grammar); Class (philosophy)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001605287,0.0005102431,0.0003831621,0.001283434,0.001222911,0.0003146698,0.0004180548,0.0003991615,0.01230616],"category_scores_gemma":[0.0004005101,0.0002271254,0.0001467497,0.0005719668,0.0004531254,0.0007607025,0.001049482,0.0004072791,0.004978494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005227604,"about_ca_system_score_gemma":0.0003002016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004722047,"about_ca_topic_score_gemma":0.01295297,"domain_scores_codex":[0.9998271,0.0000189361,0.00001391026,0.00005738271,0.0000503254,0.00003235115],"domain_scores_gemma":[0.9998211,0.00001795208,0.00009020939,0.00002089608,0.00002994395,0.00001995721],"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":[0.001283606,0.0001814927,0.06101089,0.001501295,0.0001012595,0.002802062,0.002826884,0.0007735675,0.05318637,0.008380416,0.04097458,0.8269775],"study_design_scores_gemma":[0.0001195205,0.0005943564,0.5791047,0.0009853141,0.0001869267,0.01003967,0.002866404,0.0005066821,0.005177943,0.001722232,0.3986418,0.0000545677],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.581324,0.01062715,0.005247188,0.0006899819,0.0005083593,0.0003955033,0.007368076,0.000716996,0.3931227],"genre_scores_gemma":[0.9585657,0.002723871,0.003591869,0.0005545168,0.0001362416,0.0001645332,0.002464123,0.00005058444,0.03174862],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01230616,"threshold_uncertainty_score":0.04116821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04563049379351952,"score_gpt":0.2230821420085732,"score_spread":0.1774516482150536,"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."}}