{"id":"W6885992278","doi":"10.14286/bk1oeg","title":"Noakes 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; Submarine pipeline; Marine research; Global Positioning System; Continental shelf; Tracking (education); Satellite tracking","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":[0.001286258,0.0009480056,0.001004716,0.0003405795,0.0004328848,0.0004150865,0.00154963,0.0008455495,0.0003593253],"category_scores_gemma":[0.0003502714,0.001002065,0.0004053199,0.001841494,0.0001892218,0.0001737503,0.0003350858,0.001717613,0.1791548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000232102,"about_ca_system_score_gemma":0.0001642717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002706313,"about_ca_topic_score_gemma":0.0007740687,"domain_scores_codex":[0.9950578,0.0002661443,0.0007955257,0.001198505,0.001010885,0.001671159],"domain_scores_gemma":[0.9963189,0.0006335098,0.0007121039,0.001907605,0.000136332,0.0002915603],"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":[0.00003599151,0.0000588153,0.0001356939,0.0001792037,0.0002298789,0.0004812311,0.00001482216,0.003085519,5.736454e-7,0.00001726858,0.9953942,0.0003667973],"study_design_scores_gemma":[0.0002910863,0.00004731836,0.0006522523,0.0009705694,0.0003352281,0.00002723982,0.00001110573,0.00005717857,0.000001317741,0.0003582663,0.9962226,0.001025805],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004945964,0.0008059804,0.000003282259,0.00004910857,0.004810432,0.0004340585,0.9920142,0.001538187,0.000295306],"genre_scores_gemma":[0.00003181252,0.0003437791,0.0001221464,0.0002622198,0.0110097,0.00001289823,0.9860067,0.00065111,0.001559671],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1787955,"threshold_uncertainty_score":0.999243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03145569903737021,"score_gpt":0.2831466578660653,"score_spread":0.2516909588286951,"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."}}