{"id":"W6931458052","doi":"10.5281/zenodo.7053069","title":"Cabamofa vietnamensis Jaschhof & Levesque-Beaudin & Broadley & Heller & Lien & Schmidt 2022, sp. nov.","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Seta; Apex (geometry); Wing; Midpoint; Ovoid","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":[0.0001660453,0.001328989,0.0004987125,0.001584281,0.001731999,0.0008604557,0.000746519,0.0007438868,0.008550598],"category_scores_gemma":[0.0003807649,0.0002807632,0.0002222012,0.001132566,0.0005507609,0.0008516163,0.0005733658,0.0007248548,0.003607106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001618522,"about_ca_system_score_gemma":0.0008170592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08787785,"about_ca_topic_score_gemma":0.1328659,"domain_scores_codex":[0.9998519,0.00001061577,0.000009886229,0.00006286938,0.00003071229,0.00003387441],"domain_scores_gemma":[0.99984,0.00002748141,0.0000364931,0.00001268476,0.00004719086,0.00003616293],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001186726,0.0003527515,0.09160386,0.00371043,0.0002858873,0.009754812,0.007487381,0.002528025,0.0753527,0.002962921,0.04751413,0.7572604],"study_design_scores_gemma":[0.0002206616,0.0003806996,0.4937789,0.00182766,0.0002690133,0.01501896,0.007158407,0.001798287,0.003840822,0.0008122278,0.4747901,0.0001042836],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7042136,0.06097145,0.006614073,0.001719116,0.002428269,0.001216906,0.01922113,0.001023563,0.2025918],"genre_scores_gemma":[0.9418249,0.01104127,0.006428802,0.000930025,0.0002540055,0.0006414151,0.01177036,0.0000712192,0.02703801],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08787785,"threshold_uncertainty_score":0.1747327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4825792634916687,"score_gpt":0.4138728975968889,"score_spread":0.0687063658947798,"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."}}