{"id":"W6946388947","doi":"10.34943/9a0e544e-0d6a-4a73-bceb-e24912e98ee6","title":"Cape Bonavista Datalogger Deployed 2017-06-21","year":2019,"lang":"en","type":"dataset","venue":"Ocean Networks Canada Society","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Data logger; Cape; Data quality; Digital data; Mobile device; Software deployment","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003795124,0.0005963161,0.0006485252,0.000009784881,0.0002933909,0.0001020869,0.001146245,0.000577397,0.0009814226],"category_scores_gemma":[0.00001846803,0.0005701716,0.0002524995,0.0002345237,0.0001555407,0.0001290004,0.0005797821,0.0009751508,0.000115913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001264738,"about_ca_system_score_gemma":0.0004750299,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6214936,"about_ca_topic_score_gemma":0.8836652,"domain_scores_codex":[0.9967553,0.00008569327,0.000552054,0.0008717169,0.000871152,0.0008641051],"domain_scores_gemma":[0.997452,0.0002012059,0.0004531237,0.001533397,0.0000146021,0.0003456541],"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":[0.000003718415,0.00002258613,0.001646685,0.0000829366,0.0000954887,0.00005051686,0.0000153492,0.01254078,1.995316e-7,0.000003661104,0.9854979,0.00004020603],"study_design_scores_gemma":[0.0002167835,0.00001877123,0.0006060062,0.00006445098,0.00009448988,0.00002668505,0.00005587589,0.02907266,7.229742e-8,0.000006610308,0.9691815,0.000656091],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005406727,0.0002927015,0.00015105,0.0001010773,0.001563238,0.0004986913,0.9966149,0.00002983512,0.0002078883],"genre_scores_gemma":[0.002019943,0.0003757611,0.0001146963,0.002054788,0.0004670914,0.000006376338,0.9913703,0.0000640022,0.003527096],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2621716,"threshold_uncertainty_score":0.9999318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008285688946188594,"score_gpt":0.2004766376331957,"score_spread":0.1921909486870071,"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."}}