{"id":"W6890288584","doi":"10.34943/511f07f7-236c-4573-8146-6e6994d10bed","title":"Cambridge Bay Water Quality Monitor Deployed 2013-09-03","year":2013,"lang":"en","type":"dataset","venue":"Ocean Networks Canada Society","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bay; Turbidity; Water quality; Quality assurance; Software deployment; Hydrology (agriculture); Deep water","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"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.00164369,0.001974127,0.00197249,0.00007056036,0.0009281968,0.0004650725,0.002347852,0.001954565,0.0005988148],"category_scores_gemma":[0.00006249898,0.001650629,0.001131017,0.0005534199,0.0004901776,0.0003822405,0.0008086696,0.003566567,0.0006070904],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003929071,"about_ca_system_score_gemma":0.002150135,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9569741,"about_ca_topic_score_gemma":0.9044469,"domain_scores_codex":[0.9895285,0.0008570296,0.001750959,0.002013306,0.002472961,0.003377276],"domain_scores_gemma":[0.9932448,0.000402486,0.0009204124,0.003419697,0.0005650859,0.001447547],"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":[0.00003297434,0.00009999787,0.0002770464,0.000269353,0.001009589,0.00006557123,0.00003658806,0.001881538,0.000007924556,0.000002016427,0.9962677,0.00004972392],"study_design_scores_gemma":[0.0008880063,0.00003228537,0.0008619664,0.000129374,0.0004682482,0.00001802741,0.0001736898,0.001629925,0.00002110613,0.000003188618,0.993575,0.002199126],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003088416,0.001279861,0.00001818914,0.0004874032,0.004655048,0.001398121,0.9886828,0.0003656687,0.00002449971],"genre_scores_gemma":[0.001810544,0.0008974041,0.000133696,0.002675988,0.004622794,0.00009007777,0.9861087,0.0006462634,0.003014549],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05252716,"threshold_uncertainty_score":0.9998947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01372814245389624,"score_gpt":0.2367548995148701,"score_spread":0.2230267570609738,"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."}}