{"id":"W6965101498","doi":"10.34943/a7e9f84f-66a5-4f62-b1e9-5c4e6ffceb9b","title":"Hercules Oxygen Sensor Deployed 2017-06-25","year":2017,"lang":"en","type":"dataset","venue":"Ocean Networks Canada Society","topic":"Ecology and biodiversity studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Oxygen; Measure (data warehouse); Oxygen sensor; Software deployment; Limiting oxygen concentration; Wireless sensor network","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","sts"],"consensus_categories":[],"category_scores_codex":[0.0002348107,0.0004093308,0.0004380961,0.00000676776,0.001723149,0.00005786564,0.000998677,0.0005907842,0.0005089052],"category_scores_gemma":[0.00003178379,0.0003805085,0.0002472794,0.00006959525,0.0006365945,0.00009281516,0.0008938671,0.0007221336,0.0000879391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007286005,"about_ca_system_score_gemma":0.0001360634,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4520811,"about_ca_topic_score_gemma":0.9271896,"domain_scores_codex":[0.9980167,0.0000675382,0.0002087175,0.0006155176,0.0004087865,0.0006827863],"domain_scores_gemma":[0.9986366,0.0001027307,0.0002926762,0.0007475835,0.00001559584,0.0002048159],"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":[0.000004215437,0.00002162613,0.01358952,0.00001889206,0.0002219533,0.00009152956,0.00002425143,0.0003924283,1.791592e-7,1.393711e-7,0.985575,0.00006029986],"study_design_scores_gemma":[0.0001880997,0.00001745772,0.02457186,0.00001588939,0.0001592067,0.000008820182,0.0001526242,0.0001267876,2.672735e-7,0.000004038566,0.9743218,0.0004331203],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00140804,0.0004400334,0.000004359194,0.001062385,0.001014811,0.0002702438,0.9954768,0.00003370566,0.0002896688],"genre_scores_gemma":[0.001319202,0.002384589,0.0001847722,0.004602244,0.0005122789,0.000004237463,0.9864233,0.00002069579,0.004548675],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4751085,"threshold_uncertainty_score":0.9998647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01133539675607479,"score_gpt":0.206800257917178,"score_spread":0.1954648611611032,"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."}}