{"id":"W6965440787","doi":"10.34943/1c115ba7-2cd4-4876-949b-fd5ca7caf17d","title":"Horseshoe Bay - Departure Bay Ferry Route Oxygen Sensor Deployed 2017-10-26","year":2017,"lang":"en","type":"dataset","venue":"Ocean Networks Canada Society","topic":"Environmental Sustainability in Business","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bay; Horseshoe (symbol); Software deployment; Horseshoe crab; Estuary","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":[0.0006661516,0.001299195,0.0007487187,0.001712859,0.0006369308,0.001005307,0.001683075,0.0009835768,0.007100851],"category_scores_gemma":[0.001893273,0.0002638172,0.0004576349,0.002467917,0.0003779455,0.001001943,0.001049981,0.001076905,0.01525799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001763858,"about_ca_system_score_gemma":0.002358194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.136831,"about_ca_topic_score_gemma":0.2808254,"domain_scores_codex":[0.9993736,0.00006213682,0.0000435974,0.0001421396,0.0002419142,0.0001366182],"domain_scores_gemma":[0.9990656,0.00007306684,0.00006745718,0.0001855857,0.0004953639,0.0001130577],"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":[0.00009585868,0.00004752287,0.003763289,0.000226979,0.00002460803,0.00006317277,0.0000467059,0.0008905182,0.0003875345,0.0006172647,0.9889573,0.004879314],"study_design_scores_gemma":[0.000112151,0.00003031208,0.02250895,0.000198033,0.00002232197,0.0001005976,0.0003226875,0.002978218,0.001502131,0.001066723,0.9711133,0.00004470259],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002604923,0.0001402265,0.0002965949,0.0002115065,0.00008692028,0.00003337868,0.9926146,0.0008958857,0.003115894],"genre_scores_gemma":[0.002502486,0.00006697389,0.0004069543,0.00003949135,0.00000989515,0.00003746141,0.9955472,0.00004710018,0.001342393],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.136831,"threshold_uncertainty_score":0.272069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009872394510870167,"score_gpt":0.2135905214710898,"score_spread":0.2037181269602197,"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."}}