{"id":"W6908883026","doi":"10.34943/029a6b23-0185-4e10-94ff-4510a4f7ac88","title":"Baynes Sound Conductivity Temperature Depth Deployed 2019-06-13","year":2019,"lang":"en","type":"dataset","venue":"Ocean Networks Canada Society","topic":"","field":"","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":[0.0007560714,0.001722589,0.0008321401,0.00253865,0.0009483981,0.001551674,0.002010282,0.001275581,0.01881066],"category_scores_gemma":[0.003329171,0.0004208517,0.0005625917,0.00525642,0.0004484845,0.001025642,0.001315429,0.001315888,0.03734336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002462637,"about_ca_system_score_gemma":0.004206264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3096776,"about_ca_topic_score_gemma":0.4656473,"domain_scores_codex":[0.9991661,0.00007401917,0.00006723787,0.0002166866,0.00031107,0.0001648198],"domain_scores_gemma":[0.9982811,0.0001479249,0.00009530914,0.0003211758,0.0009525877,0.000201865],"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":[0.00004432624,0.00001640073,0.001572953,0.0001253965,0.00001252057,0.00002840063,0.0000278059,0.0003678872,0.0001163348,0.0003778184,0.9951347,0.00217563],"study_design_scores_gemma":[0.0001286004,0.00001726095,0.01226377,0.0001995107,0.00001610551,0.00005309922,0.0002551346,0.001236535,0.0004692356,0.0009539825,0.9843663,0.0000404945],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004962616,0.00003948402,0.00009709637,0.00008525702,0.00004411676,0.00001097107,0.9975432,0.0004133861,0.001270136],"genre_scores_gemma":[0.0007728108,0.00002655415,0.0002354555,0.00002228439,0.000005264909,0.00002617996,0.9980136,0.00004720522,0.0008506421],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3096776,"threshold_uncertainty_score":0.6157502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01271035124471609,"score_gpt":0.2304381626682271,"score_spread":0.217727811423511,"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."}}