{"id":"W2309339938","doi":"","title":"Aggregated Sidestripe Shrimp Catch Grid 1997-2004","year":2005,"lang":"en","type":"article","venue":"downloadable data","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Shrimp; Fishery; Fishing; Grid; Geography; Environmental science; Computer science; Biology","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":[0.0004060708,0.0001732618,0.0001693893,0.00003376451,0.0001799726,0.0001136177,0.001649068,0.00008574864,0.06368731],"category_scores_gemma":[0.0001271872,0.0001528203,0.00002860473,0.0004640887,0.0001896031,0.0009860942,0.002236246,0.0002681051,0.006694207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001447802,"about_ca_system_score_gemma":0.00004246873,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007403276,"about_ca_topic_score_gemma":0.001767668,"domain_scores_codex":[0.9979654,0.00004865794,0.0002486043,0.000616583,0.0005285641,0.0005921825],"domain_scores_gemma":[0.9978382,0.00004723313,0.00005739908,0.001821908,0.000009608751,0.0002256682],"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":[0.00002892558,0.0001052109,0.02087608,0.00000697032,0.00001256771,0.00002885599,0.00003623672,0.00007381111,0.0005643757,0.00001563148,0.8600333,0.118218],"study_design_scores_gemma":[0.0003020895,0.0000384884,0.001708104,0.000003375732,0.00000809751,0.00001834222,0.00004583435,0.003006082,0.001101502,0.00003254711,0.9935248,0.0002106939],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04680946,0.0003989584,0.0002499854,0.00663966,0.0004045615,0.0007894962,0.004273712,0.0003328171,0.9401013],"genre_scores_gemma":[0.8144543,0.00250374,0.02134708,0.006627369,0.002934494,0.0001914289,0.05286598,0.0002216609,0.09885391],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8412474,"threshold_uncertainty_score":0.9992065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03111240552339359,"score_gpt":0.2681768731664487,"score_spread":0.2370644676430551,"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."}}