{"id":"W6927989206","doi":"10.34943/5a0a5654-1fbe-4d3e-9f28-8560ddeecd51","title":"Mount Grey Accelerometer Deployed 2017-10-24","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; Mount; Global Positioning System; Software deployment; Acceleration; Measure (data warehouse)","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":[0.0005809618,0.002020951,0.001003309,0.001914384,0.0009288308,0.001254483,0.002140532,0.001170648,0.02051505],"category_scores_gemma":[0.002995545,0.0004100802,0.0005496643,0.003473939,0.0005071892,0.001081376,0.0014533,0.001365005,0.04896266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001848353,"about_ca_system_score_gemma":0.002785921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2218532,"about_ca_topic_score_gemma":0.4148621,"domain_scores_codex":[0.9992008,0.00007366673,0.00004431017,0.0001756948,0.000346339,0.0001592013],"domain_scores_gemma":[0.9987943,0.0000769455,0.0000600902,0.0002705462,0.0006712416,0.0001267705],"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":[0.00004625077,0.00001395277,0.0008392992,0.00009383479,0.00001208867,0.00002310814,0.00002182945,0.0003034497,0.0001264675,0.000280214,0.9959681,0.002271318],"study_design_scores_gemma":[0.0001058105,0.00001944398,0.01189885,0.0001490818,0.00001558118,0.00005880521,0.0001815925,0.001302691,0.0005842705,0.0008861591,0.9847609,0.00003690677],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009271204,0.0001021422,0.0002335984,0.0001576307,0.00009506487,0.00002733008,0.9939085,0.001227657,0.003320851],"genre_scores_gemma":[0.001556493,0.00005697826,0.0003461452,0.00003511092,0.00001527218,0.00004953412,0.995482,0.0001071373,0.002351347],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2218532,"threshold_uncertainty_score":0.4411238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01895564549895999,"score_gpt":0.2340905933247783,"score_spread":0.2151349478258183,"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."}}