{"id":"W6927872702","doi":"10.34943/8a6cee22-459e-483b-8b70-a9346a6be576","title":"Bamfield Accelerometer Deployed 2017-07-07","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":"Accelerometer; Software deployment; Acceleration; Measure (data warehouse); Titan (rocket family)","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":[0.0006878793,0.002440234,0.001288231,0.002377465,0.001199733,0.001479696,0.002625051,0.001317644,0.01964729],"category_scores_gemma":[0.003276256,0.0004974674,0.0005846742,0.0049186,0.0006275247,0.001131311,0.001442451,0.00163644,0.04639453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002903656,"about_ca_system_score_gemma":0.005135422,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3882868,"about_ca_topic_score_gemma":0.5976516,"domain_scores_codex":[0.9988919,0.00009201834,0.00006119289,0.0002227878,0.0005006347,0.0002314924],"domain_scores_gemma":[0.9983375,0.00009836115,0.00006741072,0.0003079169,0.001038487,0.0001503087],"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":[0.00004647727,0.00001875081,0.001025445,0.00009580226,0.00001177133,0.00002267371,0.00001926993,0.0003558974,0.00009855148,0.0002824911,0.9952043,0.002818465],"study_design_scores_gemma":[0.0001144775,0.00001862049,0.01230319,0.0001887728,0.00001689421,0.00007194471,0.0002474891,0.001715941,0.0006591917,0.0009832133,0.9836341,0.00004608291],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008738734,0.0001154209,0.0002502746,0.000153797,0.00009408626,0.00003173775,0.9942373,0.001191985,0.003051473],"genre_scores_gemma":[0.001428415,0.00006213668,0.0003761163,0.00003467939,0.00001112455,0.00005252686,0.9960257,0.00008668,0.001922535],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6117132,"threshold_uncertainty_score":0.7720534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02250060279673045,"score_gpt":0.2595540382872697,"score_spread":0.2370534354905393,"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."}}