{"id":"W6946562122","doi":"10.34943/ae4b03b9-118e-4323-a94d-6f7f36ae782a","title":"Survey Mountain Accelerometer Deployed 2019-01-15","year":2019,"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; Global Positioning System; Measure (data warehouse); Data quality; Acceleration","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":[0.0007553649,0.002073374,0.001126582,0.001943562,0.001163234,0.00143954,0.002678976,0.001327,0.02143289],"category_scores_gemma":[0.002959554,0.00051081,0.0006464678,0.004700959,0.0005233191,0.001048431,0.001519704,0.00144798,0.04671247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002215769,"about_ca_system_score_gemma":0.004102453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.309755,"about_ca_topic_score_gemma":0.5217005,"domain_scores_codex":[0.9989347,0.0001080745,0.00007537205,0.0002452052,0.000428481,0.0002081654],"domain_scores_gemma":[0.9984885,0.00008930892,0.00006642441,0.0003118701,0.0009013616,0.000142422],"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":[0.00005590227,0.00001960579,0.0009857073,0.0001169931,0.00001493159,0.00002321764,0.00001988747,0.0003723988,0.0001456576,0.0002798546,0.9956018,0.002364117],"study_design_scores_gemma":[0.0001564384,0.00002442191,0.01439506,0.000162634,0.00001978258,0.00007780535,0.0002135388,0.001655573,0.0007026826,0.000914912,0.9816244,0.00005266898],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006217714,0.00006547205,0.0002015962,0.000107165,0.00006306234,0.00002345737,0.9960321,0.0009479784,0.001937504],"genre_scores_gemma":[0.001010822,0.00003408996,0.000362569,0.00003264812,0.000007288163,0.00004075686,0.9971498,0.00006989518,0.001292276],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.309755,"threshold_uncertainty_score":0.615904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02127006168251462,"score_gpt":0.2413002053498595,"score_spread":0.2200301436673449,"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."}}