{"id":"W6931601928","doi":"10.5281/zenodo.8189971","title":"Callinectes marginatus","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Callinectes; Cape verde; Nova scotia; Clearance","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":[0.0001190505,0.0007117772,0.0003233949,0.001301408,0.00153984,0.0003576453,0.0006916868,0.0005058966,0.03161243],"category_scores_gemma":[0.0003423261,0.0001620389,0.0001294475,0.0004510057,0.0007387552,0.0008544396,0.001458832,0.0006048445,0.007512305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006570093,"about_ca_system_score_gemma":0.0002992629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01468802,"about_ca_topic_score_gemma":0.04993707,"domain_scores_codex":[0.9998428,0.0000125077,0.000009112265,0.00006741637,0.00004871715,0.00001946066],"domain_scores_gemma":[0.999896,0.00001341255,0.00003337612,0.00001489419,0.00002447975,0.00001781174],"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":[0.001032686,0.0002220132,0.0365111,0.001582406,0.00008974114,0.002448435,0.003536153,0.001284281,0.07005886,0.01315584,0.07472626,0.7953523],"study_design_scores_gemma":[0.00006374262,0.0001563607,0.4208835,0.0006238015,0.00009489221,0.004359906,0.001120268,0.0006055887,0.003317866,0.00270375,0.5660042,0.00006621512],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3586082,0.01525024,0.004813524,0.001120759,0.0006056858,0.0003665984,0.004302812,0.001571486,0.6133608],"genre_scores_gemma":[0.9129857,0.002011135,0.003615882,0.001215118,0.0001580375,0.0001480943,0.002912211,0.0001355571,0.07681821],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03161243,"threshold_uncertainty_score":0.1057541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04883792224026125,"score_gpt":0.2849317317372655,"score_spread":0.2360938094970043,"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."}}