{"id":"W6931266689","doi":"10.5281/zenodo.5603662","title":"Atherinops affinis","year":2021,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Image and Object Detection Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Intertidal zone; Fish <Actinopterygii>; Pacific ocean; Estuary","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":["scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000322032,0.00008568683,0.0000852658,0.0001159894,0.001251586,0.001128929,0.001076664,0.00004174308,0.004079515],"category_scores_gemma":[0.0002521899,0.00009367347,0.00004813883,0.0006952799,0.00004856092,0.0004040501,0.001408415,0.0001647118,0.005054758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006915197,"about_ca_system_score_gemma":0.000004772837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004750421,"about_ca_topic_score_gemma":1.284283e-7,"domain_scores_codex":[0.9988258,0.0002017709,0.0001415465,0.0003515522,0.0002383874,0.0002408861],"domain_scores_gemma":[0.9987525,0.00001281258,0.00004649856,0.0005992717,0.0004954252,0.00009353128],"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":[0.000006324574,0.00009994307,5.7675e-7,0.00002010679,0.00001882838,0.00009431325,0.0008354061,0.000004985692,0.02038688,0.01912892,0.1069204,0.8524833],"study_design_scores_gemma":[0.0001267988,0.00008310013,0.0001035107,0.000007781588,0.000002001178,0.0002600778,0.00006181204,0.0002994632,0.103942,0.0007953499,0.8942087,0.0001094144],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002130606,0.000110305,0.7013225,0.001357848,0.0001636667,0.0001618491,0.00001834137,0.003485477,0.2912494],"genre_scores_gemma":[0.9653817,0.0002256626,0.02516409,0.00132945,0.0002742699,7.580439e-8,0.0002683996,0.001346298,0.006010011],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9632511,"threshold_uncertainty_score":0.999908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0235340966675853,"score_gpt":0.233488805764773,"score_spread":0.2099547090971877,"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."}}