{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005945487,0.0001129039,0.000110905,0.0001503413,0.003777297,0.0008407854,0.001998212,0.00002147688,0.0111424],"category_scores_gemma":[0.0001194096,0.0001234464,0.00005720259,0.0007088642,0.00007337496,0.000139279,0.003326023,0.0002498317,0.00310412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001321421,"about_ca_system_score_gemma":0.000004813656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001413398,"about_ca_topic_score_gemma":8.17213e-8,"domain_scores_codex":[0.9982228,0.0004725516,0.0001722107,0.0004431709,0.0003623614,0.0003269477],"domain_scores_gemma":[0.9990146,0.00002077053,0.00007071328,0.0005571981,0.0002175098,0.0001191818],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004355891,0.0002640857,0.000002958575,0.00001570771,0.00006123394,0.00006364461,0.002480948,0.005807634,0.1115674,0.01961159,0.5735279,0.2865534],"study_design_scores_gemma":[0.000237531,0.0001509413,0.00009000672,0.000002809184,0.000003734766,0.00009241769,0.0001252523,0.009803164,0.001609261,0.0002103278,0.9875237,0.0001509006],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02981712,0.0006766428,0.692635,0.008086541,0.001384082,0.001039502,0.0002531116,0.001506504,0.2646015],"genre_scores_gemma":[0.9914415,0.00004379125,0.005387043,0.0006127822,0.0002043679,7.048762e-8,0.0001532955,0.0006078575,0.001549245],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9616244,"threshold_uncertainty_score":0.9976721,"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."}}