{"id":"W6963698746","doi":"10.21966/q1m4-pz94","title":"iTrack Oysters September 2023 Experiment - Environmental and Oyster Health Data","year":2023,"lang":"en","type":"dataset","venue":"Hakai Institute","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Mesocosm; Oyster; Crassostrea; Mytilus; Ocean chemistry; Sentinel species; Eastern oyster; Ocean acidification","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009452711,0.001052178,0.001148694,0.0004329027,0.0004020167,0.0003002881,0.00180088,0.0004683082,0.0007740945],"category_scores_gemma":[0.00003543386,0.00107038,0.0001279407,0.0002432673,0.0006930689,0.001116372,0.003309208,0.0008835648,0.2131432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000832462,"about_ca_system_score_gemma":0.0003786187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002475032,"about_ca_topic_score_gemma":0.002954515,"domain_scores_codex":[0.9941753,0.000238145,0.001086568,0.002192104,0.001164423,0.001143466],"domain_scores_gemma":[0.9940826,0.00006205292,0.0006625629,0.004535179,0.00001097336,0.0006465965],"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":[0.00004996103,0.00020156,0.0000153839,0.0004423092,0.00033131,0.0003640868,0.00007417682,0.00001301336,0.0001249034,0.000002982315,0.998158,0.0002223426],"study_design_scores_gemma":[0.001099594,0.00009905574,0.0002392263,0.0004647447,0.000149366,0.0001295375,0.0001727435,0.00004719241,0.00001708876,0.00000256853,0.9966109,0.0009679347],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004580422,0.002076091,0.000005304467,0.0002070198,0.003169252,0.001436949,0.9921483,0.0002482474,0.0002507965],"genre_scores_gemma":[0.00004543186,0.001197319,0.0002235797,0.0009457074,0.0006949284,0.0001778915,0.9930358,0.0002563416,0.003423018],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2123691,"threshold_uncertainty_score":0.9991747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09882669074471984,"score_gpt":0.3491900850796068,"score_spread":0.250363394334887,"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."}}