{"id":"W6892539496","doi":"10.5281/zenodo.10810158","title":"Parachaetocladius abnobaeus","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"","keywords":"Seta; Beehive; Blade (archaeology); Flight feather; Apex (geometry)","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":[0.00006187011,0.0003785915,0.0001755479,0.001725999,0.0008771941,0.0002071453,0.0002641749,0.0002757651,0.00850716],"category_scores_gemma":[0.0002655932,0.0001240611,0.00009723235,0.0007683017,0.0003249937,0.0003486976,0.0005572423,0.000240323,0.003392549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004050333,"about_ca_system_score_gemma":0.0004115331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01103275,"about_ca_topic_score_gemma":0.02267247,"domain_scores_codex":[0.9999104,0.000009395576,0.000006920164,0.00002494153,0.00002966072,0.00001872658],"domain_scores_gemma":[0.9998881,0.00001273435,0.00002433623,0.000009470752,0.00004226457,0.0000230764],"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":[0.0008776715,0.0002317905,0.1246643,0.00098449,0.00006425249,0.001677441,0.001580352,0.001114538,0.201572,0.004618023,0.007156197,0.6554589],"study_design_scores_gemma":[0.00007432463,0.0004878942,0.7210541,0.0005110092,0.00005626542,0.004452144,0.001966985,0.001494095,0.01162687,0.001847808,0.2563647,0.00006370401],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8268589,0.005986424,0.004209747,0.0002289451,0.0002701535,0.000209948,0.001605826,0.0003640832,0.160266],"genre_scores_gemma":[0.9724005,0.001328047,0.003678864,0.0001961614,0.00003353131,0.0001043918,0.001422939,0.00001839168,0.02081725],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01103275,"threshold_uncertainty_score":0.02845931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01436443628374499,"score_gpt":0.2032528228463284,"score_spread":0.1888883865625834,"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."}}