{"id":"W6969228537","doi":"10.5443/1499","title":"CFL 0803 - Beaufort Sea CTD data","year":2016,"lang":"en","type":"dataset","venue":"Canadian Polar Data Network","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"CTD; Beaufort scale; Sampling (signal processing); Research vessel; Cruise; Sea ice; Sea surface temperature","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":[0.001384716,0.00143733,0.001024881,0.005686689,0.001044982,0.001961943,0.003000609,0.001400265,0.03313829],"category_scores_gemma":[0.00481193,0.0005863215,0.0008244554,0.01101699,0.000434312,0.0008181931,0.001266079,0.001316183,0.02676634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003728635,"about_ca_system_score_gemma":0.006658194,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4911006,"about_ca_topic_score_gemma":0.4948367,"domain_scores_codex":[0.9984252,0.0001504025,0.0001452353,0.0003835925,0.0005889143,0.0003066433],"domain_scores_gemma":[0.9958175,0.0003699642,0.0004825312,0.0007938421,0.002189679,0.0003464809],"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":[0.0001198909,0.00003928695,0.006894628,0.0002473962,0.00003166148,0.00008287017,0.0000841963,0.0008395912,0.0002182326,0.000732006,0.9860045,0.004705799],"study_design_scores_gemma":[0.0001277417,0.00001783328,0.03363452,0.0001963893,0.00001691173,0.00005388287,0.0002062009,0.0007766741,0.0004021247,0.0003157289,0.9642054,0.00004661138],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008265938,0.00003643032,0.00006455067,0.00004304769,0.00001467318,0.00002267874,0.9975824,0.0001425369,0.001266996],"genre_scores_gemma":[0.001221816,0.00001780967,0.0002996357,0.00002167699,0.000005387858,0.00008514521,0.9972557,0.00004267152,0.001050202],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5088993,"threshold_uncertainty_score":0.9764842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06689073952069037,"score_gpt":0.2912462481593758,"score_spread":0.2243555086386855,"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."}}