{"id":"W6890234446","doi":"10.34943/44ee8f86-6462-4747-b24b-e8848a9a287d","title":"Gully Canyon Adapter Deployed 2014-05-03","year":2017,"lang":"en","type":"dataset","venue":"Ocean Networks Canada Society","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Canyon; Adapter (computing); Software deployment; Digital data; Submarine canyon","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":[0.0006369639,0.001567215,0.0009141907,0.002553997,0.001219098,0.001259731,0.001987902,0.001004033,0.01059707],"category_scores_gemma":[0.002770947,0.0003656648,0.0004778504,0.004118233,0.0005164985,0.0009100743,0.00150364,0.00130496,0.02000322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002926715,"about_ca_system_score_gemma":0.005201353,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5220305,"about_ca_topic_score_gemma":0.7392854,"domain_scores_codex":[0.9992367,0.00005899742,0.00003732998,0.0001853621,0.0002814499,0.0002002194],"domain_scores_gemma":[0.9984133,0.00008463569,0.00007012365,0.0002675495,0.0009502783,0.00021407],"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":[0.00006250644,0.0000182801,0.002286811,0.00008770931,0.0000159043,0.00003805578,0.00004052925,0.0004203949,0.0001450492,0.0003502358,0.9941737,0.002360665],"study_design_scores_gemma":[0.0001208957,0.00002232678,0.02537949,0.0002248903,0.00002151023,0.00007877123,0.0004687216,0.001883737,0.0006487519,0.0007565003,0.9703473,0.00004702161],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002813778,0.0001441542,0.0002317857,0.0001794363,0.0001001516,0.00003748213,0.9911515,0.00112515,0.004216416],"genre_scores_gemma":[0.002160208,0.00005231721,0.0003937606,0.00003916267,0.000009901448,0.00003809321,0.9953688,0.0001107206,0.001827058],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4779695,"threshold_uncertainty_score":0.9615687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009964324206465636,"score_gpt":0.2306835394560342,"score_spread":0.2207192152495686,"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."}}