{"id":"W7164020195","doi":"10.34943/7bd61a1e-18c8-4237-8eb0-7cf7a68d1c97","title":"Port McNeill - Alert Bay - Sointula Ferry Route Conductivity Temperature Depth Deployed 2024-12-19","year":2024,"lang":"en","type":"dataset","venue":"Ocean Networks Canada Society","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bay; Port (circuit theory); Turbidity; Conductivity; Software deployment; Temperature measurement","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":[0.0007064864,0.001507701,0.0008156065,0.002390529,0.001085644,0.001598459,0.002446407,0.001251231,0.0256117],"category_scores_gemma":[0.004177,0.0004447238,0.0005560854,0.005106382,0.0004642281,0.001018704,0.001330403,0.001190218,0.03567566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004069711,"about_ca_system_score_gemma":0.006098565,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5812758,"about_ca_topic_score_gemma":0.7236098,"domain_scores_codex":[0.9992036,0.00007877484,0.00004626604,0.0001875702,0.0002908359,0.0001929499],"domain_scores_gemma":[0.9979838,0.00020851,0.0001126852,0.0003722195,0.001068171,0.0002546086],"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":[0.00004123043,0.00001137041,0.001255078,0.0001214229,0.00001155588,0.00002413074,0.00002037398,0.0004247935,0.00007873376,0.0003447122,0.9958532,0.00181343],"study_design_scores_gemma":[0.0001215855,0.00001430721,0.01134773,0.0001946424,0.00001387683,0.00004096286,0.0002183633,0.001408906,0.0004211445,0.0008293239,0.9853507,0.00003839636],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003389779,0.00003102607,0.00008602857,0.00008302523,0.00002494446,0.00001165697,0.997558,0.0003598128,0.001506514],"genre_scores_gemma":[0.0008496309,0.00002918812,0.000283026,0.00002708961,0.000004519596,0.00003030003,0.9976128,0.00005314738,0.001110283],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4187242,"threshold_uncertainty_score":0.8423803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01194727762616665,"score_gpt":0.2332673917013231,"score_spread":0.2213201140751564,"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."}}