{"id":"W6931559671","doi":"10.5281/zenodo.5696399","title":"Philetus Melander","year":2016,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Computability, Logic, AI Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Simple eye in invertebrates; Seta; Bristle; Genus; Lobe","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008516837,0.0004406483,0.0002403991,0.001248742,0.001025207,0.0003712923,0.0003638775,0.0003784618,0.008605807],"category_scores_gemma":[0.0003782912,0.0001739305,0.0001261016,0.0003860706,0.0006155989,0.001081948,0.00114987,0.0005681945,0.001820598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007144102,"about_ca_system_score_gemma":0.0002762213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001904912,"about_ca_topic_score_gemma":0.002328372,"domain_scores_codex":[0.9998972,0.00001500074,0.000007811569,0.00003540437,0.00002675913,0.00001777094],"domain_scores_gemma":[0.9999028,0.00001242712,0.0000477479,0.00001126594,0.00001364606,0.00001208733],"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":[0.001043414,0.0001737518,0.02900887,0.001384275,0.00008482578,0.006279964,0.002836486,0.0009889556,0.1259812,0.01360068,0.03077834,0.7878393],"study_design_scores_gemma":[0.0002070194,0.0007982349,0.3394226,0.001152775,0.0002240975,0.02125296,0.002319918,0.00126085,0.01335079,0.00378086,0.6161666,0.00006339487],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6265934,0.02398883,0.01092801,0.002105444,0.0008068411,0.0005838977,0.003648655,0.001337109,0.3300078],"genre_scores_gemma":[0.9616771,0.004098086,0.00444058,0.0008122569,0.0002284689,0.0002139186,0.001592331,0.00004309191,0.02689426],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008605807,"threshold_uncertainty_score":0.02878928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03602937470028306,"score_gpt":0.2352281790567705,"score_spread":0.1991988043564874,"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."}}