{"id":"W6927600055","doi":"10.34943/7893a521-3728-4c54-b9ce-77150250369d","title":"Barkley Canyon Mid-East Accelerometer Deployed 2016-06-15","year":2016,"lang":"en","type":"dataset","venue":"Ocean Networks Canada Society","topic":"Microbial metabolism and enzyme function","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Canyon; Accelerometer; Software deployment; Benthic zone; Acceleration; Sediment; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002247777,0.0006075527,0.0004853568,0.00002587664,0.0002442789,0.00005695386,0.0006155831,0.0009672675,0.000179033],"category_scores_gemma":[0.00003839902,0.000519842,0.0003858966,0.0001483514,0.0001116991,0.00000813304,0.0002756614,0.0004713652,0.000005336747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001680238,"about_ca_system_score_gemma":0.001304869,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1296127,"about_ca_topic_score_gemma":0.4021771,"domain_scores_codex":[0.9974331,0.0001121871,0.0004296807,0.000872175,0.0003317769,0.0008211068],"domain_scores_gemma":[0.9982216,0.00002186344,0.0002819441,0.0009969531,0.0001394928,0.0003380964],"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":[0.00003823848,0.00001934089,0.00002812237,0.00005817978,0.0002842965,0.000007669597,0.000003177465,0.00007519429,0.001663758,2.107758e-7,0.9974834,0.0003383997],"study_design_scores_gemma":[0.0005697649,0.00004548026,0.00008220504,0.00008004149,0.000157848,0.00001943016,0.00001703481,0.00001129833,0.0004892086,0.000001514385,0.9978738,0.0006523894],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001447319,0.003536836,0.0003214409,0.0001997701,0.003227633,0.0002953029,0.9909321,0.00002207286,0.00001750347],"genre_scores_gemma":[0.00180706,0.005876408,0.00006261094,0.003802205,0.005004706,0.0000141628,0.9801577,0.0000987854,0.003176382],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2725644,"threshold_uncertainty_score":0.9997253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005858495849063703,"score_gpt":0.1875232999177747,"score_spread":0.181664804068711,"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."}}