{"id":"W6928035355","doi":"10.34943/264a650a-4d47-4975-9a9b-cbb511d478b6","title":"Folger Pinnacle Acoustic Doppler Current Profiler 600 kHz Deployed 2010-08-23","year":2011,"lang":"en","type":"dataset","venue":"Ocean Networks Canada Society","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pinnacle; Acoustic Doppler current profiler; Current (fluid); Doppler effect; Quality assurance","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":[0.0004777701,0.001307501,0.0007352694,0.002814451,0.0007174949,0.001118561,0.001637082,0.001042722,0.01134522],"category_scores_gemma":[0.00228223,0.0003454822,0.0004141874,0.005122074,0.0002884678,0.0007664454,0.0009826588,0.000977389,0.01816925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002869859,"about_ca_system_score_gemma":0.003129943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4482557,"about_ca_topic_score_gemma":0.6548261,"domain_scores_codex":[0.9993942,0.00004142916,0.00003508089,0.0001371254,0.0002699645,0.0001223063],"domain_scores_gemma":[0.9985399,0.0001058092,0.0001064255,0.0002714457,0.000819481,0.0001569857],"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":[0.0000626824,0.0000204125,0.004894497,0.0001936674,0.00002569908,0.00005142447,0.00004777238,0.0008830915,0.0002667865,0.0003163835,0.9878986,0.005338894],"study_design_scores_gemma":[0.00008963965,0.00001913096,0.04034904,0.0001978495,0.00002303428,0.00006780728,0.0003054724,0.002634811,0.0008588833,0.0005715716,0.9548219,0.00006084179],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001150699,0.0000562597,0.0001248499,0.00007350437,0.0000238679,0.00001195452,0.9964862,0.0005548986,0.001517777],"genre_scores_gemma":[0.001903476,0.00003461137,0.0003188286,0.00001963134,0.000004653329,0.00002642861,0.9965972,0.00004396284,0.001051154],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4482557,"threshold_uncertainty_score":0.8912932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01923132642574051,"score_gpt":0.228933001641386,"score_spread":0.2097016752156455,"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."}}