{"id":"W6964819518","doi":"10.26023/dn6q-vkke-v002","title":"WINTRE-MIX Field Collected Sounding Data. Version 4.0","year":2022,"lang":"en","type":"dataset","venue":"Open MIND","topic":"","field":"","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Université du Québec à Montréal","funders":"","keywords":"Depth sounding; Field (mathematics); Documentation; Metadata","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009950409,0.001746941,0.001077355,0.002867917,0.0007709313,0.001929,0.002257177,0.00138329,0.05498816],"category_scores_gemma":[0.003909164,0.0005831106,0.001060233,0.004399154,0.0003901921,0.00137074,0.002239514,0.001458824,0.1097983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009121186,"about_ca_system_score_gemma":0.001280124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02231659,"about_ca_topic_score_gemma":0.04295705,"domain_scores_codex":[0.9988163,0.0002041594,0.0001246324,0.0002880764,0.0003939615,0.0001729259],"domain_scores_gemma":[0.9980415,0.0004316416,0.000147759,0.0005060768,0.0006792654,0.000193706],"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":[0.00006872248,0.00003612558,0.001257619,0.0003078703,0.00001534302,0.00002376537,0.00005694762,0.0002477068,0.0002168139,0.0003405476,0.9922073,0.005221127],"study_design_scores_gemma":[0.0001247899,0.00003164669,0.01269485,0.0001783681,0.00002080141,0.00006251757,0.0003142608,0.0006316309,0.0007244555,0.001040009,0.9841195,0.00005706824],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004313154,0.0000297252,0.0001487946,0.00004502224,0.0000350677,0.00001932069,0.997733,0.0004505791,0.001107148],"genre_scores_gemma":[0.0006899186,0.0000232063,0.0004350781,0.00002575981,0.000009639904,0.0001100201,0.9972491,0.0001354073,0.00132193],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05498816,"threshold_uncertainty_score":0.1839537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0798388169277802,"score_gpt":0.3620891267027697,"score_spread":0.2822503097749894,"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."}}