{"id":"W6950142740","doi":"10.5281/zenodo.6536926","title":"Microphorella vespera, sp. nov.","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Generative Adversarial Networks and Image Synthesis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Holotype; Paratype; Dorsum; Fish <Actinopterygii>; Single specimen","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":[0.0002307059,0.001350922,0.0005455509,0.002711827,0.001545354,0.0008647635,0.001178385,0.000947992,0.01146019],"category_scores_gemma":[0.0009983453,0.000637505,0.0004419597,0.001698018,0.0005607787,0.002446618,0.001232937,0.0008103321,0.008348847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006450557,"about_ca_system_score_gemma":0.0004292126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008262712,"about_ca_topic_score_gemma":0.0173004,"domain_scores_codex":[0.9997056,0.00002516702,0.00004584691,0.0001109232,0.00006802253,0.00004438375],"domain_scores_gemma":[0.9995267,0.0001013935,0.0001474862,0.00006208765,0.0001176243,0.0000446445],"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":[0.0005572866,0.0001482933,0.0481631,0.003578561,0.0003003528,0.007361069,0.002518152,0.001588121,0.04841455,0.001486931,0.05696909,0.8289145],"study_design_scores_gemma":[0.000121624,0.0003335162,0.3084162,0.002397221,0.0005361908,0.02862323,0.00264893,0.001021543,0.009958013,0.001092274,0.6447325,0.000118846],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.3472656,0.09830659,0.02121121,0.002234967,0.004051303,0.002817491,0.04419048,0.00288634,0.477036],"genre_scores_gemma":[0.8595448,0.03325438,0.03020405,0.002036934,0.0006978302,0.001269968,0.0200606,0.0002969837,0.05263451],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01146019,"threshold_uncertainty_score":0.03833812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02407481751530943,"score_gpt":0.2159005816807256,"score_spread":0.1918257641654162,"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."}}