{"id":"W6894031451","doi":"10.5281/zenodo.6533584","title":"Ageniella (Alasagenia) flavipennis","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Entomological Studies and Ecology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Willow Biosciences (Canada)","funders":"","keywords":"Spider; Dorsum; National forest; Adult male; Predation","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":[0.00009549893,0.0004000455,0.0001735273,0.0007222659,0.000746978,0.0002221438,0.0003043828,0.0002955815,0.004996255],"category_scores_gemma":[0.0001483258,0.0001283274,0.000121325,0.0002876823,0.0001714925,0.0004889561,0.0003580393,0.0002974348,0.001324906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003985182,"about_ca_system_score_gemma":0.0001328237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009642245,"about_ca_topic_score_gemma":0.03077338,"domain_scores_codex":[0.999951,0.000005463924,0.000004027078,0.00001717498,0.00001329681,0.000008894582],"domain_scores_gemma":[0.9999222,0.00001221951,0.00002418076,0.000008161853,0.00002061487,0.00001260124],"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":[0.0004866414,0.0003950757,0.08045472,0.00108695,0.00008598361,0.004250158,0.003190442,0.001125377,0.2519679,0.004001711,0.0188178,0.6341372],"study_design_scores_gemma":[0.00007551921,0.0004064229,0.6232098,0.0003393673,0.0001085644,0.006405013,0.001962821,0.001045417,0.008562481,0.001001824,0.3568515,0.00003125923],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8332354,0.006910296,0.003370088,0.0006114027,0.000156955,0.0002784397,0.00257847,0.0004556285,0.1524032],"genre_scores_gemma":[0.9717784,0.001766345,0.002343786,0.0004403745,0.00005449861,0.00007663477,0.001003828,0.00001739165,0.02251875],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009642245,"threshold_uncertainty_score":0.01917225,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04485852877828538,"score_gpt":0.2179168068527076,"score_spread":0.1730582780744222,"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."}}