{"id":"W6904726859","doi":"10.14286/xq1kmk","title":"Macfarlane Tags","year":2023,"lang":"en","type":"dataset","venue":"Ocean Tracking Network","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ocean Tracking Network","funders":"","keywords":"Pacific ocean; Continental shelf; Satellite tracking; Marine research; Upstream (networking); Telemetry; Tracking (education)","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":[],"category_scores_codex":[0.001353045,0.0009864797,0.001055391,0.0003563678,0.000386428,0.0003860263,0.001605655,0.0008969143,0.0005515518],"category_scores_gemma":[0.0002637417,0.001051266,0.0003781515,0.001804556,0.000168351,0.0001429757,0.0004044849,0.001901264,0.1971127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002609243,"about_ca_system_score_gemma":0.0001567038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004248508,"about_ca_topic_score_gemma":0.000674732,"domain_scores_codex":[0.9947754,0.0002861936,0.0008391559,0.001248358,0.001071219,0.001779645],"domain_scores_gemma":[0.9962505,0.0005567605,0.0007364379,0.002008213,0.0001203247,0.0003277836],"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":[0.00005017147,0.00005960219,0.0001482625,0.0001971329,0.0002473797,0.00087457,0.00001053749,0.0024813,7.113077e-7,0.00001572961,0.9955546,0.0003600646],"study_design_scores_gemma":[0.0003621361,0.00005595871,0.000632872,0.0008476556,0.0003551269,0.00005301072,0.000007533507,0.00006010132,0.000001085792,0.0003601761,0.9961919,0.001072399],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000452931,0.0008210543,0.000002881137,0.00005762253,0.004813811,0.0004773776,0.9918951,0.001576577,0.0003102409],"genre_scores_gemma":[0.00003339438,0.0004344416,0.0001170878,0.0003064856,0.01063548,0.00001270366,0.985967,0.0006830036,0.001810406],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1965611,"threshold_uncertainty_score":0.9991938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02914629593558917,"score_gpt":0.2810485435346572,"score_spread":0.2519022475990681,"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."}}