{"id":"W6946641089","doi":"10.34943/785c9151-9bc9-4178-b190-a4c61ec4d0e3","title":"Upper Slope South Acoustic Doppler Current Profiler 2 MHz Deployed 2016-06-16","year":2016,"lang":"en","type":"dataset","venue":"Ocean Networks Canada Society","topic":"Wood and Agarwood Research","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Acoustic Doppler current profiler; Current (fluid); Doppler effect; Internal wave; Measure (data warehouse); Sound (geography)","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":[0.0005670821,0.001631477,0.0008884942,0.002314401,0.0006580609,0.001398273,0.001800017,0.001001168,0.0198633],"category_scores_gemma":[0.002860152,0.0003992821,0.0005801852,0.004250393,0.0003174519,0.00116664,0.001268366,0.001111774,0.04841808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001554411,"about_ca_system_score_gemma":0.002699651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.118303,"about_ca_topic_score_gemma":0.2234267,"domain_scores_codex":[0.9993234,0.00006178874,0.00005642661,0.0001756458,0.0002685757,0.0001141625],"domain_scores_gemma":[0.9987463,0.0001060098,0.00009501071,0.0002741466,0.0006521828,0.000126308],"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":[0.0000579691,0.00001890219,0.002179149,0.0002640304,0.00002126999,0.00003695903,0.00003382375,0.0005701227,0.0002659691,0.0004981085,0.9920453,0.00400837],"study_design_scores_gemma":[0.00006178235,0.00001045406,0.007371517,0.0001451606,0.00001214004,0.00003634641,0.0001187659,0.0008445959,0.0005473676,0.0008130355,0.9900126,0.00002619394],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003599473,0.00005378757,0.0001314507,0.00006062784,0.00002652598,0.00001054752,0.9971698,0.0005775687,0.001609714],"genre_scores_gemma":[0.0008742792,0.00004827473,0.000359904,0.00002106756,0.000005578126,0.0000266978,0.9975008,0.00007970497,0.001083552],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.118303,"threshold_uncertainty_score":0.2352288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0110125403933278,"score_gpt":0.2344288269945108,"score_spread":0.223416286601183,"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."}}