{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009918083,0.001255639,0.0007823805,0.002793689,0.001040748,0.001508853,0.001627465,0.0009086234,0.01798931],"category_scores_gemma":[0.004581452,0.0004275732,0.0004785112,0.004728028,0.0004293306,0.0009469327,0.001244187,0.001272556,0.03266955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002842973,"about_ca_system_score_gemma":0.005562946,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3434951,"about_ca_topic_score_gemma":0.5188006,"domain_scores_codex":[0.999118,0.00009123014,0.00006799059,0.000230324,0.0003216738,0.00017071],"domain_scores_gemma":[0.9980356,0.0001868878,0.0001091415,0.000416955,0.001000231,0.0002512629],"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":[0.00003706416,0.00001133633,0.001088777,0.000121189,0.00001269037,0.00002733203,0.00004119821,0.0002480344,0.0001378476,0.0004717525,0.9953785,0.002424254],"study_design_scores_gemma":[0.00004724407,0.000005950988,0.005479154,0.0001137212,0.000008443014,0.00002260604,0.000105315,0.0004904047,0.0003240172,0.0005136394,0.9928727,0.00001681659],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004706618,0.00005659406,0.0001383299,0.0001024333,0.00003450379,0.00001872362,0.996461,0.0006026505,0.002115031],"genre_scores_gemma":[0.0008034384,0.00003723945,0.0003930113,0.00002888065,0.000006642232,0.00004894077,0.9971016,0.0001071466,0.001473221],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6565049,"threshold_uncertainty_score":0.6829915,"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."}}