{"id":"W6927790502","doi":"10.34943/868bf3b1-98d9-40b7-8185-8458c65927a5","title":"Scotian Shelf (between Shortland and Haldimand Canyons) Adapter Deployed 2013-05-08","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":"Submarine pipeline; Software deployment; Commercial off-the-shelf; Adapter (computing); Variety (cybernetics); Pacific ocean","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":[0.0004039838,0.001176157,0.0005874951,0.002723604,0.000864991,0.00115749,0.00139334,0.0006705067,0.01305213],"category_scores_gemma":[0.002034978,0.0003186371,0.0003811994,0.004048869,0.0003941206,0.0006419438,0.0009220774,0.0009115817,0.01519108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003102366,"about_ca_system_score_gemma":0.005021562,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6349658,"about_ca_topic_score_gemma":0.8156922,"domain_scores_codex":[0.9995875,0.00002513258,0.00002085854,0.00008538108,0.0001740409,0.000107078],"domain_scores_gemma":[0.9987156,0.00007682073,0.00008774031,0.0001852764,0.0007878899,0.0001466051],"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":[0.0000582769,0.00001597553,0.004733362,0.0001600824,0.00002271451,0.00006031184,0.00006827751,0.0006247433,0.0002038903,0.000527363,0.9900783,0.003446667],"study_design_scores_gemma":[0.00006610155,0.00001017623,0.03129366,0.0002080006,0.00001813981,0.00005879648,0.0003396196,0.001069027,0.0005223164,0.0005436036,0.9658403,0.00003024232],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001509708,0.00008871639,0.0001659381,0.0000919384,0.0000464466,0.0000147382,0.9950721,0.0004028594,0.002607574],"genre_scores_gemma":[0.003500672,0.00007493327,0.0003991082,0.00002505951,0.000009750401,0.00002995709,0.9935883,0.00007272158,0.002299404],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6349658,"threshold_uncertainty_score":0.734368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009315414400784745,"score_gpt":0.2114168990022552,"score_spread":0.2021014846014705,"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."}}