{"id":"W6946563851","doi":"10.34943/5ae6fcd6-e206-4769-9a8a-9a7120cbd620","title":"Cascadia Seaweed Cormorant Farm Fluorometer Deployed 2023-04-30","year":2023,"lang":"en","type":"dataset","venue":"Ocean Networks Canada Society","topic":"Wood and Agarwood Research","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cormorant; Fluorometer; Inlet; Estuary; Algae; Triode","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","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000443439,0.000937749,0.001027176,0.00005318601,0.0005782446,0.0002553912,0.001562734,0.001295066,0.001046542],"category_scores_gemma":[0.00007473858,0.0008842961,0.0007337167,0.0007299319,0.0002203322,0.00005391652,0.0005923268,0.003129561,0.00007371182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001112721,"about_ca_system_score_gemma":0.002588707,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7414854,"about_ca_topic_score_gemma":0.7098911,"domain_scores_codex":[0.9943267,0.00007941471,0.0007505186,0.001199546,0.001668582,0.001975223],"domain_scores_gemma":[0.9966829,0.0004836513,0.0003117275,0.001484173,0.0001847885,0.0008527203],"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":[0.0000163296,0.00004508421,0.00002049024,0.0006309649,0.0008144302,0.000633779,0.0000178923,0.0003730195,0.0000361534,7.423913e-7,0.9966028,0.0008083378],"study_design_scores_gemma":[0.0007116807,0.00002359187,0.00002713055,0.0002907733,0.0002071628,0.00002470485,0.0002637139,0.002395739,0.00005875179,0.000004249287,0.994986,0.001006534],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005019551,0.001424736,0.000003901021,0.000301948,0.001319221,0.0002649015,0.9956961,0.0002132554,0.0002739641],"genre_scores_gemma":[0.0004165524,0.002503654,0.00002815391,0.0009518716,0.002902244,0.00003447371,0.9745739,0.0002280895,0.01836111],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03159431,"threshold_uncertainty_score":0.9998667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01241118917636407,"score_gpt":0.2280553183189336,"score_spread":0.2156441291425696,"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."}}