{"id":"W6909213481","doi":"10.34943/ca76076f-e381-4e68-975f-dee59b8a878f","title":"Baynes Sound Conductivity Temperature Depth Deployed 2022-12-14","year":2022,"lang":"en","type":"dataset","venue":"Ocean Networks Canada Society","topic":"Flexible and Reconfigurable Manufacturing Systems","field":"Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003386035,0.0008672538,0.000920706,0.0000540648,0.0006234261,0.0002048348,0.0007979419,0.00084459,0.001589476],"category_scores_gemma":[0.00001618458,0.0008695066,0.000441068,0.0003323485,0.00008815587,0.0001235887,0.0001384254,0.002937244,0.000001173687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001210096,"about_ca_system_score_gemma":0.0006534769,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1939017,"about_ca_topic_score_gemma":0.6977071,"domain_scores_codex":[0.9968213,0.0001341615,0.000553075,0.0007138813,0.0007636917,0.001013924],"domain_scores_gemma":[0.9982029,0.000255228,0.0001802003,0.0009995169,0.00004577332,0.0003163427],"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":[0.000004305284,0.00001333527,0.00004366609,0.0005889758,0.0004660782,0.00006339523,0.00002492384,0.1693783,0.000002335189,0.000001267911,0.8293579,0.00005546622],"study_design_scores_gemma":[0.0003156285,0.00002172989,0.0000777502,0.00007493079,0.0001370941,0.00005395948,0.000233549,0.002129991,0.00002387486,0.000009820665,0.9959341,0.0009876173],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003151838,0.005746903,0.00002230022,0.00005839036,0.01226819,0.0005865773,0.9776102,0.0004299131,0.0001257181],"genre_scores_gemma":[0.02323305,0.001288681,0.00001140736,0.0006496157,0.001907888,0.00005023502,0.9710763,0.0002113156,0.00157156],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5038054,"threshold_uncertainty_score":0.9993756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007310733853542331,"score_gpt":0.1816174258068501,"score_spread":0.1743066919533078,"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."}}