{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000718688,0.002298967,0.001207742,0.00321498,0.0008416902,0.001467951,0.002711778,0.001630491,0.01809163],"category_scores_gemma":[0.003133463,0.0004015369,0.0007794846,0.00452073,0.0004750469,0.001312334,0.001431996,0.001393474,0.04590895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001783111,"about_ca_system_score_gemma":0.00237523,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08698734,"about_ca_topic_score_gemma":0.1725966,"domain_scores_codex":[0.9991303,0.00009096107,0.00007842524,0.0002014479,0.0003184506,0.0001804354],"domain_scores_gemma":[0.998572,0.0001262597,0.0000794541,0.0003525175,0.0007224496,0.000147374],"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":[0.00005771692,0.00002696424,0.001249785,0.0002166974,0.000016928,0.00003790991,0.0000231656,0.0005973693,0.0001755526,0.0003878929,0.9937104,0.003499622],"study_design_scores_gemma":[0.000120331,0.00002659515,0.0070026,0.0002080943,0.00001849117,0.00008660344,0.0001875953,0.002600529,0.0008120649,0.001200437,0.9876946,0.00004209628],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000597347,0.00008691724,0.0002001171,0.0001110153,0.00007447575,0.00002664612,0.9960837,0.001212521,0.001607246],"genre_scores_gemma":[0.001201943,0.00004793778,0.000382308,0.0000277176,0.00001101562,0.00004346761,0.9974025,0.0000653828,0.0008176713],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9130127,"threshold_uncertainty_score":0.1729621,"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."}}