{"id":"W6902733834","doi":"10.7284/137926","title":"CTD (Conductivity, Temperature, Depth) data collected during research cruise RC0008 using a Sea-Bird SBE-CTD instrument system onboard the platform RV Rachel Carson","year":2020,"lang":"en","type":"dataset","venue":"Rolling Deck to Repository","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"CTD; Cruise; Nova scotia; Global Positioning System","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009088546,0.002830563,0.001433859,0.0032437,0.000619898,0.001292581,0.002486557,0.002457268,0.02650275],"category_scores_gemma":[0.002951946,0.0006583318,0.001596563,0.004908104,0.0005726822,0.00108904,0.001543288,0.001496091,0.06164513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001039913,"about_ca_system_score_gemma":0.001990402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05866008,"about_ca_topic_score_gemma":0.09582995,"domain_scores_codex":[0.999253,0.00007826025,0.0000798019,0.0002264518,0.0002330558,0.0001295225],"domain_scores_gemma":[0.9984568,0.000279511,0.0001262271,0.0004158013,0.0005617435,0.0001597416],"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":[0.0001295213,0.00004982747,0.001983793,0.0007544837,0.00006192572,0.00005213077,0.00003502291,0.001227256,0.0005063181,0.0002109386,0.9906335,0.004355185],"study_design_scores_gemma":[0.0005064133,0.00008022827,0.02579314,0.0005292852,0.00009381656,0.0001619089,0.0002079417,0.002466015,0.001740494,0.001586182,0.9666808,0.0001539653],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003218068,0.00003891325,0.0000792948,0.00003561022,0.00002831226,0.000007836752,0.998684,0.0004789793,0.0003252439],"genre_scores_gemma":[0.0005391252,0.00003605566,0.0002627164,0.00001928822,0.000005787912,0.00002676216,0.9986954,0.00005163809,0.0003631913],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05866008,"threshold_uncertainty_score":0.1166373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2421123447345214,"score_gpt":0.3741737095852277,"score_spread":0.1320613648507063,"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."}}