{"id":"W6945510072","doi":"10.2312/cr_msm73","title":"Subpolar Gyre Variability, Cruise No. MSM73, April 06 - May 22, 2018, Cádiz (Spain) - St. John's (Canada)","year":2019,"lang":"en","type":"report","venue":"Helmholtz-Zentrum für Polar-und Meeresforschung (Alfred-Wegener-Institut)","topic":"Research Data Management Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Ocean gyre; Cruise; Indian ocean; Channel (broadcasting)","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":[0.0005852409,0.0004049246,0.0001970442,0.001144196,0.0004528955,0.0006584068,0.0002492002,0.0003346475,0.005550652],"category_scores_gemma":[0.001326716,0.0001098472,0.0001476531,0.001342195,0.0001746197,0.0002344696,0.0004114635,0.000348907,0.003940135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001024461,"about_ca_system_score_gemma":0.002120196,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2948094,"about_ca_topic_score_gemma":0.3570749,"domain_scores_codex":[0.9997552,0.0000161327,0.00001048833,0.00006063312,0.000126549,0.00003103021],"domain_scores_gemma":[0.9993575,0.00004081509,0.00006574189,0.00006506241,0.0003897107,0.00008112128],"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":[0.001253727,0.00009297331,0.1420727,0.0004264023,0.0001640297,0.0002153877,0.0008316152,0.004868075,0.005451024,0.001324469,0.7679117,0.07538791],"study_design_scores_gemma":[0.0000668696,0.00006216803,0.6693648,0.0001755955,0.00003559386,0.00004447616,0.000483702,0.001817679,0.002841783,0.0004551398,0.3246309,0.0000212671],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.1230455,0.001685318,0.002936363,0.002060129,0.0006543029,0.0002145619,0.8104579,0.001971402,0.05697446],"genre_scores_gemma":[0.2101764,0.001470527,0.007374014,0.0002006414,0.000300701,0.000356159,0.7176667,0.0007237028,0.06173109],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7051905,"threshold_uncertainty_score":0.5861869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04811997843525281,"score_gpt":0.3263177072649896,"score_spread":0.2781977288297368,"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."}}