{"id":"W6948649981","doi":"10.5281/zenodo.10793201","title":"Hemipepsis toussainti","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Ecology and Conservation Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Willow Biosciences (Canada)","funders":"","keywords":"Host (biology); Spider; Undergrowth; Western hemisphere","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":[0.00006678444,0.0004992587,0.0001459815,0.0008350863,0.0006560708,0.0001607892,0.0002765449,0.0002404087,0.01053939],"category_scores_gemma":[0.0001695735,0.0001161528,0.0001375851,0.0002015538,0.0002025209,0.0002620529,0.0005439552,0.0001529597,0.002113796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003917313,"about_ca_system_score_gemma":0.0001947782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03115601,"about_ca_topic_score_gemma":0.06476366,"domain_scores_codex":[0.9999343,0.00000507456,0.000005047844,0.00002257364,0.00001715227,0.00001589068],"domain_scores_gemma":[0.9999125,0.000005678243,0.00004208955,0.000006792792,0.00001959604,0.0000134421],"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":[0.0005159009,0.0002877781,0.3116701,0.0008636156,0.0001435201,0.001669337,0.002197056,0.00041245,0.08273962,0.001503393,0.02918202,0.5688151],"study_design_scores_gemma":[0.00001275943,0.0002048717,0.9495871,0.0001388706,0.00005596625,0.002197464,0.000488289,0.0002687512,0.00214375,0.0001532818,0.04473847,0.00001029497],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8666186,0.004641745,0.001213173,0.0003720722,0.0001752715,0.0002091932,0.001943525,0.000279013,0.1245473],"genre_scores_gemma":[0.9678509,0.001529215,0.001526051,0.0002713429,0.0000692423,0.00007896498,0.00163204,0.00001194893,0.02703024],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03115601,"threshold_uncertainty_score":0.06194931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0471407788294188,"score_gpt":0.2335743049451071,"score_spread":0.1864335261156883,"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."}}