{"id":"W6965503113","doi":"10.34943/2f837b27-a058-4617-ba2f-18d2b707e7ee","title":"Discovery Passage Fluorometer Deployed 2020-07-15","year":2020,"lang":"en","type":"dataset","venue":"Ocean Networks Canada Society","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Channel (broadcasting); Fluorometer; Measure (data warehouse); Key (lock); 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":[0.000965681,0.001172716,0.0008903485,0.001914228,0.0008382761,0.001406711,0.002110269,0.001305803,0.01821972],"category_scores_gemma":[0.003606883,0.0004000556,0.0006250077,0.003826931,0.0003832909,0.00147889,0.00120368,0.001290194,0.03609016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001684904,"about_ca_system_score_gemma":0.002305475,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1018294,"about_ca_topic_score_gemma":0.1506964,"domain_scores_codex":[0.9990168,0.0001178945,0.00007942705,0.0003109733,0.0003250341,0.0001498985],"domain_scores_gemma":[0.9984957,0.0001592615,0.0001107995,0.000357567,0.0007349884,0.0001416971],"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":[0.00007115946,0.00002839131,0.002392757,0.0001740902,0.00001841547,0.00002941704,0.0000281709,0.0006381474,0.0001940083,0.000668157,0.9925223,0.003234956],"study_design_scores_gemma":[0.0001072321,0.00002198922,0.01344185,0.0001454706,0.00001957285,0.00006993135,0.0001603836,0.00176197,0.0006766315,0.001269318,0.9822837,0.00004196395],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006763858,0.00005158124,0.000177934,0.0001073774,0.00004107664,0.00001780557,0.9966241,0.0004696881,0.001834064],"genre_scores_gemma":[0.001218549,0.00003065168,0.0004212374,0.00004945523,0.000008619507,0.00004870814,0.9970758,0.00006327169,0.001083717],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8981706,"threshold_uncertainty_score":0.2024734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005251941052811192,"score_gpt":0.1865888593703449,"score_spread":0.1813369183175337,"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."}}