{"id":"W6890363876","doi":"10.34943/b1b40ea0-62de-48f8-95cd-3eb3bb4bfe5b","title":"Horseshoe Bay - Departure Bay Ferry Route Wind Monitoring System Deployed 2015-06-01","year":2015,"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; Horseshoe (symbol); Software deployment; Horseshoe crab; Wind direction; Wind power","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":[0.0007191484,0.00139527,0.0008335928,0.002258974,0.000979836,0.001380696,0.00202549,0.0009549614,0.01137991],"category_scores_gemma":[0.003181081,0.0003634156,0.0004551445,0.003846775,0.0004259918,0.0009197495,0.001217983,0.001203762,0.01904856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003389925,"about_ca_system_score_gemma":0.00595097,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5709493,"about_ca_topic_score_gemma":0.7624225,"domain_scores_codex":[0.999238,0.00006105375,0.00005625625,0.0001637993,0.0003194638,0.000161486],"domain_scores_gemma":[0.9982544,0.0001071087,0.00009509134,0.0002907243,0.001047035,0.0002056278],"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":[0.00004810966,0.00001784322,0.002239713,0.000122163,0.00001792681,0.00003044055,0.00003455204,0.0005234016,0.0001383185,0.0003568578,0.9940531,0.002417581],"study_design_scores_gemma":[0.00009250872,0.00001515295,0.02342971,0.0002154128,0.00001902165,0.00005695212,0.0002573955,0.001871873,0.0006702333,0.0006865477,0.9726366,0.00004862197],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008658491,0.00006305858,0.0001443885,0.00009280758,0.00003963772,0.00002009608,0.9965551,0.0005149353,0.001704215],"genre_scores_gemma":[0.001352134,0.00003400116,0.0002796743,0.0000220936,0.000005193314,0.00002248891,0.9972401,0.00004413268,0.001000147],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5709493,"threshold_uncertainty_score":0.8631549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01322463437226703,"score_gpt":0.2364440887524416,"score_spread":0.2232194543801745,"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."}}