{"id":"W6927916300","doi":"10.34943/ff6b41d2-e5e2-442a-99d9-9da0f142fbc0","title":"Telegraph Cove Accelerometer Deployed 2022-03-22","year":2022,"lang":"en","type":"dataset","venue":"Ocean Networks Canada Society","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cove; Accelerometer; Situated; Inlet; Software deployment; Measure (data warehouse)","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":[0.0007334638,0.002224582,0.001077853,0.002344714,0.001223172,0.001682172,0.002716274,0.001545725,0.02554502],"category_scores_gemma":[0.002949251,0.0005158616,0.0005860673,0.005495359,0.0005308702,0.001029157,0.001496901,0.001576482,0.05684843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002625663,"about_ca_system_score_gemma":0.005066179,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3716158,"about_ca_topic_score_gemma":0.5681048,"domain_scores_codex":[0.9988606,0.000102891,0.00006548813,0.0002804479,0.0004600993,0.0002305116],"domain_scores_gemma":[0.9981837,0.0001230255,0.00008171416,0.0003742312,0.001069481,0.0001677437],"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":[0.00003498037,0.00001570519,0.0007954286,0.0000992809,0.00000922035,0.00002339734,0.00001922298,0.0003272933,0.0001186864,0.0002742923,0.996064,0.002218399],"study_design_scores_gemma":[0.0001013486,0.0000150773,0.01054483,0.0001440032,0.00001122899,0.00005325968,0.0001897533,0.00108004,0.0005065712,0.0007337952,0.9865776,0.00004257501],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003472159,0.00004004157,0.0001447535,0.00006851961,0.00003655142,0.00001968555,0.9971231,0.000548685,0.001671405],"genre_scores_gemma":[0.0007603098,0.00002529374,0.0003076557,0.00002320991,0.000006048087,0.00004765453,0.9975269,0.00006142297,0.001241506],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6283842,"threshold_uncertainty_score":0.7389054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00866415927378943,"score_gpt":0.209941270467851,"score_spread":0.2012771111940615,"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."}}