{"id":"W6946799586","doi":"10.34943/1c60a3be-f6aa-4b69-af74-701f09f2ee2c","title":"Cambridge Bay Adapter Deployed 2016-08-25","year":2016,"lang":"en","type":"dataset","venue":"Ocean Networks Canada Society","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bay; Adapter (computing); Software deployment; Digital data; Variety (cybernetics)","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":[0.0007946509,0.001407629,0.000880386,0.002441298,0.0007678757,0.001288734,0.001863931,0.0007820317,0.0213502],"category_scores_gemma":[0.003297648,0.0003758717,0.000530188,0.003928068,0.0004025232,0.001210141,0.001504656,0.001111843,0.0430155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001917969,"about_ca_system_score_gemma":0.002581537,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1692472,"about_ca_topic_score_gemma":0.3290671,"domain_scores_codex":[0.9991143,0.00006991697,0.00007687559,0.0002529014,0.0003392446,0.0001468485],"domain_scores_gemma":[0.9983256,0.00008096599,0.00009257317,0.0003972123,0.0009105817,0.0001929902],"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":[0.00008133792,0.00002457675,0.002561207,0.0001511425,0.0000202005,0.0000347911,0.00004574268,0.0003810111,0.0003140413,0.0004952651,0.9920142,0.003876475],"study_design_scores_gemma":[0.00007119877,0.00001420491,0.01358868,0.0001097439,0.00001399933,0.0000418265,0.000162664,0.0008352499,0.0006511096,0.0005531669,0.9839319,0.00002621841],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001308036,0.00009009179,0.000212523,0.00009441233,0.00007646844,0.00003680122,0.9930942,0.001096906,0.003990628],"genre_scores_gemma":[0.001266475,0.00004002264,0.0003218421,0.0000278835,0.000008982112,0.0000406529,0.9964311,0.0001028724,0.001760239],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8307528,"threshold_uncertainty_score":0.3365242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009256021168110105,"score_gpt":0.1965231875263476,"score_spread":0.1872671663582375,"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."}}