{"id":"W6965593737","doi":"10.34943/1ab977ce-a623-47c4-9de1-b44d98677996","title":"Baynes Sound Conductivity Temperature Depth Deployed 2023-08-23","year":2023,"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":"Conductivity; Pressure sensor; Temperature measurement; Sound (geography); Turbidity; Data acquisition; Noise (video); Global Positioning System; Digital data","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":[0.0007968955,0.001500409,0.0007537112,0.00192991,0.0007185425,0.00122651,0.001820586,0.00120824,0.01960419],"category_scores_gemma":[0.002882887,0.0003906417,0.0005225244,0.003634619,0.0003738234,0.0008809944,0.001127057,0.00124413,0.0394983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001554712,"about_ca_system_score_gemma":0.002860066,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1349573,"about_ca_topic_score_gemma":0.2311074,"domain_scores_codex":[0.9993018,0.00007350274,0.00006145995,0.000187599,0.0002591813,0.0001163816],"domain_scores_gemma":[0.9986961,0.0001477766,0.00008074792,0.000279742,0.0006193612,0.0001762733],"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":[0.00004690406,0.00002109045,0.001412899,0.0001433567,0.00001208447,0.00003052437,0.0000275597,0.0004031572,0.0001638151,0.0003947523,0.9949726,0.002371318],"study_design_scores_gemma":[0.0001635967,0.00002067819,0.01001054,0.0001746255,0.00001443667,0.00005559468,0.0002071061,0.001443902,0.0006094917,0.001147568,0.9861177,0.00003475802],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004915988,0.00002928681,0.0001195704,0.00006995808,0.00003049575,0.00001330298,0.9976418,0.000438417,0.001165572],"genre_scores_gemma":[0.0006929907,0.00001867402,0.0002991612,0.00002403524,0.000003568474,0.00003301475,0.9983065,0.00004914874,0.000572899],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8650427,"threshold_uncertainty_score":0.2683435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01070974823161933,"score_gpt":0.1986672532468013,"score_spread":0.1879575050151819,"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."}}