{"id":"W6890300908","doi":"10.34943/3c29d874-eaee-45b6-b956-21cce18caa0b","title":"CCGS Vector Acoustic Doppler Current Profiler 150 kHz Deployed 2017-10-30","year":2018,"lang":"en","type":"dataset","venue":"Ocean Networks Canada Society","topic":"Internet of Things and AI","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Acoustic Doppler current profiler; Doppler effect; Current (fluid); Coast guard; Mooring; Buoy; Doppler frequency","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"],"consensus_categories":[],"category_scores_codex":[0.0004426206,0.0008154526,0.0006891288,0.00004070867,0.0004664991,0.0005509584,0.003609683,0.0005340425,0.0004329286],"category_scores_gemma":[0.00004103206,0.0007354791,0.0004653516,0.0003419909,0.0001783648,0.0002821177,0.001121544,0.001459762,0.00002896315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008152125,"about_ca_system_score_gemma":0.001941936,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.08526555,"about_ca_topic_score_gemma":0.1044048,"domain_scores_codex":[0.9954982,0.0001029219,0.0006342203,0.001275111,0.001169856,0.001319629],"domain_scores_gemma":[0.9967637,0.0001457846,0.0005710741,0.001710303,0.0003216051,0.0004875197],"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":[0.000004619188,0.00005273868,0.000003179866,0.000148369,0.000159384,0.00003725166,0.00005533139,0.0005795547,4.07384e-7,0.00002387284,0.9986454,0.0002898677],"study_design_scores_gemma":[0.0002818204,0.00006888198,0.0000276392,0.0002991071,0.00009314854,0.00002309919,0.00001089096,0.05617224,0.000002751672,0.00001951267,0.9421738,0.0008270591],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004886281,0.002194128,0.01347602,0.0008337777,0.01755252,0.0008077012,0.9647554,0.0002809349,0.00005060817],"genre_scores_gemma":[0.001183761,0.001073471,0.001927047,0.005943245,0.008246699,0.00003096702,0.9787707,0.0001306886,0.002693464],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05647158,"threshold_uncertainty_score":0.9995096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0109676808624532,"score_gpt":0.2286932288585117,"score_spread":0.2177255479960585,"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."}}