{"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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000498305,0.00008630133,0.00008392635,0.0002825088,0.001188905,0.001160206,0.001641837,0.00003453843,0.002246146],"category_scores_gemma":[0.0004781045,0.0000894215,0.00003334874,0.001635651,0.00005777213,0.0004013376,0.001660734,0.0001183048,0.02521205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004327492,"about_ca_system_score_gemma":0.000002964276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003564888,"about_ca_topic_score_gemma":8.807825e-8,"domain_scores_codex":[0.9987624,0.0001411994,0.0001568749,0.0003260419,0.0003161979,0.0002972306],"domain_scores_gemma":[0.9989614,0.00002252729,0.00005043716,0.000500476,0.0003281033,0.0001370269],"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":[0.000003658588,0.00006016222,0.000004647821,0.00002710516,0.00001806562,0.00002370335,0.000522851,0.0001261206,0.001109704,0.2062768,0.6749222,0.116905],"study_design_scores_gemma":[0.0001736787,0.00005041861,0.0004959468,0.000008877969,0.000002416346,0.00002321119,0.00005121148,0.04145592,0.0002139783,0.0008006297,0.9566127,0.0001110184],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00585188,0.00008988896,0.7255375,0.008189078,0.0005114702,0.0005332795,0.0003227944,0.01242292,0.2465411],"genre_scores_gemma":[0.9551613,0.0006854471,0.007229056,0.002183831,0.000543874,8.341218e-8,0.01006025,0.002974421,0.02116171],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9493095,"threshold_uncertainty_score":0.9998767,"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."}}