{"id":"W6887449935","doi":"10.15493/saeon.egagasini.181122-1","title":"SkiMonkey mounted MicroCAT CTD data from around Prince Edward Island on SA Agulhas II Voyage 024, April 2017","year":2022,"lang":"en","type":"dataset","venue":"SAEON Data Centre","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cruise; Seafloor spreading; CTD; Nautical mile; Bathythermograph; Shore; Longitude; Towing; Seamount","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":[0.0002250281,0.0005093509,0.0002552304,0.001631833,0.0006336377,0.0008297975,0.0004064071,0.0003587872,0.014049],"category_scores_gemma":[0.0008539871,0.0002749911,0.0002487333,0.001633346,0.0003190202,0.0003928589,0.000813133,0.0004642896,0.007822093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007214342,"about_ca_system_score_gemma":0.001319472,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09803184,"about_ca_topic_score_gemma":0.2463658,"domain_scores_codex":[0.999737,0.000009157034,0.00001277846,0.00005302822,0.0001415155,0.00004667537],"domain_scores_gemma":[0.9994028,0.00004388433,0.00004474475,0.00007886421,0.0003735957,0.00005605242],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001618568,0.0002385442,0.4451086,0.0007675036,0.0002293466,0.00234662,0.004933033,0.007211364,0.04674982,0.0007384798,0.3049778,0.1850804],"study_design_scores_gemma":[0.00003843267,0.0001085049,0.836897,0.000171612,0.00005052342,0.0002420404,0.002789838,0.002155867,0.005991305,0.0001415351,0.1513583,0.00005497031],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.681371,0.0003963269,0.004088791,0.0004087545,0.0004835882,0.0003683941,0.2283407,0.002585166,0.0819573],"genre_scores_gemma":[0.5663655,0.000668079,0.0163259,0.0002129692,0.0001514678,0.0005524376,0.347035,0.001553325,0.0671353],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.9019682,"threshold_uncertainty_score":0.1949225,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04687336777074183,"score_gpt":0.3076680756616293,"score_spread":0.2607947078908875,"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."}}