{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007364681,0.0001443238,0.0001387554,0.0001805677,0.001146037,0.0007636937,0.002473743,0.00005574619,0.005758625],"category_scores_gemma":[0.0005125276,0.0001110197,0.00006109945,0.0005772705,0.0001509808,0.0005336335,0.002886333,0.0001410425,0.01279064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001634781,"about_ca_system_score_gemma":0.000004764969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000579277,"about_ca_topic_score_gemma":1.574207e-7,"domain_scores_codex":[0.9979606,0.0003258705,0.0002304054,0.0006031757,0.0004438071,0.0004361503],"domain_scores_gemma":[0.9982372,0.00006729054,0.0000769413,0.0009392829,0.0004707887,0.0002084816],"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":[0.00001308458,0.0001533375,0.00001375664,0.00001650258,0.00002677495,0.00002413335,0.0006116501,0.00001677221,0.003841216,0.04548736,0.08660111,0.8631943],"study_design_scores_gemma":[0.0005656823,0.0001834058,0.001732205,0.00001755274,0.000003661951,0.0001563361,0.00001989814,0.0018671,0.0007431215,0.005758615,0.9887259,0.0002265482],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006240377,0.00006765555,0.899168,0.006053474,0.0003301709,0.0003720594,0.00004200168,0.002461372,0.08526494],"genre_scores_gemma":[0.9899758,0.00004722734,0.007048467,0.0003493432,0.0003001432,5.014052e-8,0.0000638674,0.0007960025,0.001419105],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9837354,"threshold_uncertainty_score":0.9951503,"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."}}