{"id":"W6946771072","doi":"10.34943/a17e09c3-964a-46b5-8e19-83aa721c3356","title":"China Creek Oxygen Sensor Deployed 2023-09-16","year":2023,"lang":"en","type":"dataset","venue":"Ocean Networks Canada Society","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Oxygen; China; Measure (data warehouse); Software deployment; Water quality; Hydrology (agriculture)","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":[0.0005482265,0.001553315,0.0008084571,0.001330151,0.0008525877,0.0009016753,0.002408507,0.00114333,0.01274861],"category_scores_gemma":[0.001650309,0.0003520554,0.0005113385,0.003351457,0.0004053029,0.0008876967,0.0009636001,0.001154404,0.02099994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002343719,"about_ca_system_score_gemma":0.003966691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3273077,"about_ca_topic_score_gemma":0.4897986,"domain_scores_codex":[0.9993648,0.00004974037,0.00004374841,0.0001542887,0.0002564368,0.0001310317],"domain_scores_gemma":[0.9990228,0.00006261736,0.00003966874,0.0001852397,0.0005612077,0.0001285134],"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":[0.00007297123,0.00002888674,0.00157266,0.0001495675,0.00001542197,0.00003249587,0.00002032446,0.0007712131,0.0003318177,0.0003585739,0.9936485,0.002997465],"study_design_scores_gemma":[0.0002480449,0.00003721995,0.01822732,0.0001817109,0.00002527629,0.0000974072,0.0002340038,0.005590749,0.001841894,0.001506841,0.9719381,0.00007149322],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009379953,0.00004322949,0.0001973332,0.0001094019,0.00004034981,0.00002884199,0.9960852,0.000726468,0.001831191],"genre_scores_gemma":[0.00134529,0.0000230811,0.00035706,0.00003895558,0.000004045684,0.00003807343,0.9973953,0.00004222797,0.0007559897],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3273077,"threshold_uncertainty_score":0.6508051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009356361277548936,"score_gpt":0.2168513119783403,"score_spread":0.2074949507007914,"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."}}