{"id":"W7165743166","doi":"10.34943/8e95fa18-8b49-49ff-a190-a5f5921eb961","title":"Folger Pinnacle Acoustic Doppler Current Profiler 2 MHz 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":"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":[0.000492963,0.00136226,0.0007538537,0.003028065,0.0007224572,0.00110186,0.001679471,0.001023485,0.01145714],"category_scores_gemma":[0.00220055,0.0003645284,0.0004259615,0.004896418,0.0002919023,0.0007664808,0.0009592538,0.0009934168,0.01965077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002670291,"about_ca_system_score_gemma":0.003085287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4035006,"about_ca_topic_score_gemma":0.5976267,"domain_scores_codex":[0.9993736,0.00004096167,0.00003735518,0.0001380079,0.0002828019,0.0001271863],"domain_scores_gemma":[0.998584,0.0001024451,0.0001026937,0.0002608734,0.0008137331,0.0001361657],"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":[0.00006213686,0.00002324304,0.004150602,0.0001796903,0.00002133703,0.00006079954,0.00005155637,0.00084728,0.0003046333,0.0003612151,0.9885886,0.005348998],"study_design_scores_gemma":[0.00007743377,0.00001779868,0.03345542,0.0001762448,0.00001926874,0.00007057091,0.0002997738,0.002212433,0.000870437,0.0005231115,0.9622225,0.00005497788],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001214624,0.00004926576,0.0001361368,0.00007133053,0.00002364135,0.00001330614,0.9963469,0.0005220046,0.001622853],"genre_scores_gemma":[0.001642607,0.00003122054,0.0003398031,0.0000182781,0.000004365872,0.0000296648,0.9966937,0.000043943,0.001196359],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4035006,"threshold_uncertainty_score":0.802304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01912712232076409,"score_gpt":0.2304381689942832,"score_spread":0.2113110466735191,"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."}}