{"id":"W6890107984","doi":"10.34943/cc72b6c6-3a4b-4da6-a67f-a80c7a80f0f8","title":"ODP 1364A Accelerometer Deployed 2016-06-23","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; Acceleration; Measure (data warehouse); Software deployment; Calibration","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":[0.0006332111,0.002427537,0.001272246,0.002279896,0.001056179,0.001381164,0.002707618,0.001212038,0.01721962],"category_scores_gemma":[0.003288917,0.0005025376,0.0006479914,0.005034453,0.0006201539,0.001045863,0.001680345,0.001509327,0.04059549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00280009,"about_ca_system_score_gemma":0.005900423,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4137819,"about_ca_topic_score_gemma":0.6467938,"domain_scores_codex":[0.9988765,0.00008568043,0.00006362094,0.000208857,0.0005419401,0.0002234026],"domain_scores_gemma":[0.9982619,0.00007989368,0.00007295544,0.0003075525,0.001119577,0.0001582115],"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":[0.00005797625,0.00001806973,0.001588582,0.0001314578,0.00001823415,0.00002820637,0.00002280536,0.0004629653,0.0001397335,0.0003019072,0.9940345,0.00319568],"study_design_scores_gemma":[0.0001358451,0.00002223139,0.01574619,0.0001882707,0.00002181943,0.00007153764,0.0002442078,0.001937858,0.000803412,0.001118646,0.9796547,0.00005517472],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008668052,0.00009983667,0.0003082056,0.0001320501,0.00008645601,0.00002815851,0.9944576,0.001248896,0.002771951],"genre_scores_gemma":[0.001562861,0.00005547402,0.0004282261,0.00003070841,0.00001033128,0.00004044285,0.9960227,0.00008729537,0.00176185],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5862181,"threshold_uncertainty_score":0.8227468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01575058809949272,"score_gpt":0.2462848895364017,"score_spread":0.2305343014369089,"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."}}