{"id":"W6965250510","doi":"10.34943/de81323d-16ec-4ac8-bb0b-f948db34d7f4","title":"Quadra Island Accelerometer Deployed 2017-03-24","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":"Accelerometer; Acceleration; Software deployment; 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":[0.0006105652,0.002066766,0.001122525,0.002213675,0.0009881232,0.001361768,0.002447065,0.001153872,0.01919585],"category_scores_gemma":[0.002994813,0.0004286951,0.0005455196,0.004622694,0.0004852173,0.001059129,0.001352405,0.001500472,0.04317996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002162719,"about_ca_system_score_gemma":0.003720332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3128787,"about_ca_topic_score_gemma":0.5406885,"domain_scores_codex":[0.9991185,0.00007825495,0.00005310834,0.0001931645,0.0003873411,0.0001696791],"domain_scores_gemma":[0.9984084,0.0000877073,0.00006767716,0.0003128638,0.0009755587,0.0001477712],"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":[0.00004722233,0.00001854567,0.001210203,0.0001045029,0.00001322943,0.00002245949,0.00001861622,0.0003792959,0.0001124434,0.0002686974,0.9949603,0.002844428],"study_design_scores_gemma":[0.0001020484,0.00001778911,0.01337798,0.0001584445,0.00001685857,0.00006045664,0.0001879495,0.001790976,0.0005917526,0.0008575213,0.9827955,0.00004271314],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007620028,0.0000887656,0.0002298646,0.000121016,0.00007949858,0.00002626926,0.9947025,0.001120233,0.00286978],"genre_scores_gemma":[0.001265149,0.00004774359,0.0003718613,0.00002907689,0.0000102602,0.00004741567,0.9964353,0.00008311128,0.001710025],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3128787,"threshold_uncertainty_score":0.6221151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01595676671487565,"score_gpt":0.2309756114187376,"score_spread":0.215018844703862,"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."}}