{"id":"W6892238604","doi":"10.5065/d6qr4v54","title":"SWL14 Bottle data. Version 2.0","year":2015,"lang":"en","type":"dataset","venue":"Earth Observing Laboratory","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Coast guard; Cruise; Hydrography; Water bottle; Longitude; Latitude; Bottle","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002631297,0.0008785733,0.0009099217,0.0004128437,0.0002756726,0.0002970671,0.004697542,0.0008952097,0.002864593],"category_scores_gemma":[0.002036263,0.0009456366,0.00008810682,0.001505022,0.0001874394,0.001160685,0.003593182,0.00154508,0.1290544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002645105,"about_ca_system_score_gemma":0.002465297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006745777,"about_ca_topic_score_gemma":0.001985384,"domain_scores_codex":[0.9942364,0.0006734674,0.0006850761,0.001647632,0.001791744,0.0009657413],"domain_scores_gemma":[0.9889205,0.0001875724,0.0006902358,0.008572702,0.0009693301,0.0006596859],"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":[0.00005210537,0.0001239811,0.0001053736,0.000243121,0.0001122847,0.0002004726,0.00001866164,0.00001837083,0.0002181702,0.000001519488,0.9988603,0.00004563013],"study_design_scores_gemma":[0.0007588966,0.000070102,0.0004736114,0.0003219107,0.0002440292,0.000004423813,0.00004929465,0.00006182391,0.0000562056,0.000009513779,0.9969492,0.001000978],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005673597,0.004222737,7.737252e-7,0.00005870785,0.003150081,0.0004057698,0.9908376,0.0005305246,0.0002264907],"genre_scores_gemma":[0.000009910307,0.0001620783,0.0006990336,0.0006285226,0.001542314,0.00001648047,0.9962491,0.000269333,0.0004232065],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1261898,"threshold_uncertainty_score":0.9992994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06884092413141804,"score_gpt":0.2994485622792891,"score_spread":0.230607638147871,"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."}}