{"id":"W6963568194","doi":"10.21963/11896","title":"CTD sampling in Cambridge Bay, Dease Strait and Queen Maud Gulf, Nunavut","year":2016,"lang":"en","type":"dataset","venue":"Canadian Cryospheric Information Network","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"CTD; Bay; Seawater; Sampling (signal processing); Submarine pipeline; Queen (butterfly)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001008382,0.0008855434,0.0008312725,0.0004521301,0.0004046597,0.0005638804,0.0007951261,0.0009430006,0.001892474],"category_scores_gemma":[0.0003371988,0.0009151134,0.0001288924,0.001273348,0.0002065199,0.002012468,0.0001541244,0.0009626565,0.004865604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002738162,"about_ca_system_score_gemma":0.003176793,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.190908,"about_ca_topic_score_gemma":0.609502,"domain_scores_codex":[0.9952454,0.0001691142,0.001526138,0.0005088422,0.0005905875,0.001959931],"domain_scores_gemma":[0.9958848,0.000196619,0.0008799684,0.001095879,0.0002632672,0.001679509],"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":[0.00003949511,0.000006263102,0.0004438391,0.0001840939,0.00005743339,0.00004349059,0.00007834958,0.00338109,8.453326e-8,0.0003497849,0.9913568,0.004059306],"study_design_scores_gemma":[0.0009229452,0.0000314182,0.006572883,0.0006631927,0.00006933417,0.00004352774,0.00007691735,0.0004787142,1.176486e-7,0.0001483431,0.9898993,0.001093333],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003682702,0.0003768035,0.0004605982,0.000185454,0.001019097,0.001162651,0.9937453,0.0001071858,0.002574616],"genre_scores_gemma":[0.000408811,0.0002722068,0.001111862,0.002607174,0.001144594,0.0001744877,0.993857,0.0001178019,0.0003060602],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4185939,"threshold_uncertainty_score":0.9993299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01005312475189416,"score_gpt":0.2222155373301307,"score_spread":0.2121624125782365,"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."}}