{"id":"W6946432797","doi":"10.34943/4c3ff3b9-f293-4b8d-a78c-5451ad6e22d9","title":"Horseshoe Bay - Departure Bay Ferry Route Campbell Scientific Datalogger Deployed 2024-06-16","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; Horseshoe (symbol); Data logger; Horseshoe crab; Software deployment","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001084842,0.00153882,0.00084423,0.002957404,0.001457094,0.002156548,0.002560712,0.001215503,0.03770723],"category_scores_gemma":[0.005283033,0.0005355561,0.0005146298,0.005605022,0.0005249617,0.001291029,0.001574546,0.001584391,0.0594056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005243014,"about_ca_system_score_gemma":0.0105321,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6138963,"about_ca_topic_score_gemma":0.7248231,"domain_scores_codex":[0.9987967,0.00009983546,0.00007734754,0.0002463417,0.0005099062,0.0002696913],"domain_scores_gemma":[0.9964241,0.0002294179,0.0001568091,0.0006138512,0.002130932,0.0004448193],"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":[0.00003079716,0.000009286993,0.0006530099,0.00006973268,0.000005884028,0.00001337952,0.00002164713,0.0001951022,0.00007451269,0.0003575888,0.9970835,0.00148561],"study_design_scores_gemma":[0.00006102361,0.000007672312,0.00476486,0.0001120969,0.00000697411,0.00001863488,0.0001433711,0.0006233639,0.0003738488,0.0005148216,0.993349,0.00002437533],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002244702,0.00001871094,0.00008711778,0.00006730599,0.0000221595,0.0000160375,0.9972582,0.0004522813,0.001853695],"genre_scores_gemma":[0.0005893586,0.00001627748,0.0003080595,0.00001840329,0.000003515809,0.00003645548,0.9974788,0.00007583367,0.001473328],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9622928,"threshold_uncertainty_score":0.776755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009033557071619047,"score_gpt":0.223344654803579,"score_spread":0.2143110977319599,"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."}}