{"id":"W7165794632","doi":"10.34943/f2f5090e-0849-4a78-8b7f-b502ddea4d08","title":"Folger Pinnacle Acoustic Doppler Current Profiler 2 MHz Deployed 2012-08-29","year":2012,"lang":"en","type":"dataset","venue":"Ocean Networks Canada Society","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Acoustic Doppler current profiler; Pinnacle; 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":[0.0004498456,0.001337266,0.0007561456,0.003160855,0.0006925661,0.001068377,0.001625449,0.001012662,0.01402984],"category_scores_gemma":[0.002097426,0.0003546721,0.0004107023,0.004934788,0.0002581122,0.0007514299,0.0009704179,0.0009686453,0.0217707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002278324,"about_ca_system_score_gemma":0.002616607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3489878,"about_ca_topic_score_gemma":0.5542812,"domain_scores_codex":[0.9994137,0.00003735419,0.00003506716,0.0001291419,0.0002641623,0.0001206742],"domain_scores_gemma":[0.9986475,0.00009485059,0.00009843862,0.0002529598,0.0007818427,0.0001244525],"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":[0.00005995421,0.00002283682,0.00414462,0.0001812197,0.00001943294,0.0000590277,0.00005285897,0.0007348715,0.0002950518,0.0003468537,0.9884206,0.005662629],"study_design_scores_gemma":[0.00006937622,0.00001698698,0.03209133,0.0001774885,0.00001796073,0.00007089623,0.0003013359,0.001957907,0.0008266924,0.0005307936,0.9638883,0.00005096092],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001066862,0.00004736143,0.0001423589,0.00006466456,0.00002194366,0.00001345666,0.9964579,0.0005344651,0.001651042],"genre_scores_gemma":[0.001738293,0.00003120512,0.0003784547,0.00001861117,0.000004716024,0.00003412242,0.9964065,0.00004727915,0.001340728],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3489878,"threshold_uncertainty_score":0.6939129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01413897954747626,"score_gpt":0.239487077370546,"score_spread":0.2253480978230698,"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."}}