{"id":"W6928061695","doi":"10.34943/6c046272-ebd0-4f50-b74e-4b3149dcca2d","title":"Douglas Channel Internal Device Monitor Deployed 2018-10-24","year":2018,"lang":"en","type":"dataset","venue":"Ocean Networks Canada Society","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Channel (broadcasting); Software deployment; Host (biology); Key (lock); Data quality; Principal (computer security); 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":[0.0006622189,0.001196632,0.0006775644,0.00218084,0.001047863,0.001354933,0.001842272,0.0008718308,0.01502787],"category_scores_gemma":[0.003688002,0.000342162,0.0004204113,0.004309363,0.0003971696,0.0009345386,0.001226824,0.001047688,0.02592769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002590452,"about_ca_system_score_gemma":0.004821933,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3534983,"about_ca_topic_score_gemma":0.5590448,"domain_scores_codex":[0.9992346,0.00006662744,0.00004825985,0.0001735395,0.0003063419,0.0001706256],"domain_scores_gemma":[0.9980137,0.0001445428,0.00009659638,0.0003940119,0.001153818,0.0001972947],"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":[0.0000394339,0.00001341776,0.001788934,0.00007702969,0.000007728499,0.00001699554,0.00002829354,0.0002709514,0.00008327784,0.0003681427,0.9954154,0.001890405],"study_design_scores_gemma":[0.0000550423,0.00001052772,0.01169174,0.0001316238,0.00001011594,0.00003565425,0.0002423793,0.0009153924,0.0003948812,0.0005706896,0.985917,0.00002507389],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008534508,0.00005351603,0.0001394781,0.0001100287,0.00004476334,0.00002015059,0.995693,0.00059384,0.002491778],"genre_scores_gemma":[0.001623112,0.00004221455,0.0003127416,0.00003278261,0.000008389271,0.00004514183,0.9960082,0.00007777881,0.001849663],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6465018,"threshold_uncertainty_score":0.7028813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01281248612575175,"score_gpt":0.2296416126741435,"score_spread":0.2168291265483918,"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."}}