{"id":"W6929003026","doi":"10.4224/40002961","title":"NRC Ice Load Catalogue: time-series data","year":2022,"lang":"en","type":"dataset","venue":"NRC Digital Repository","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada; Canadian Wood Council","funders":"","keywords":"Work (physics); Data collection; Heat flow; Welding","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002100871,0.000420712,0.0003566766,0.00004137227,0.0002657444,0.0002194238,0.00161259,0.0002758833,0.0001849358],"category_scores_gemma":[0.0003725355,0.0004353368,0.0001395706,0.00007160507,0.0001933724,0.000006538343,0.003733356,0.0002515859,0.00007388578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001307226,"about_ca_system_score_gemma":0.0008045367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002560428,"about_ca_topic_score_gemma":0.0001694475,"domain_scores_codex":[0.9974697,0.00004393404,0.0003802016,0.001013799,0.0007343706,0.0003579699],"domain_scores_gemma":[0.9968174,0.00002296462,0.0002329189,0.002559403,0.0002503496,0.0001169522],"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":[0.0000725027,0.00009259372,0.00002556601,0.00005087155,0.000278114,0.00005279257,0.000006757673,0.000004778114,0.006430494,8.585125e-7,0.9922186,0.0007661329],"study_design_scores_gemma":[0.000168972,0.000294791,0.00005246706,0.00001001716,0.00008910379,0.0001669687,0.00003135881,6.587262e-7,0.001178931,0.00001201006,0.99751,0.0004847741],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008180094,0.006089694,0.000001538861,0.00002598988,0.001255884,0.0002090603,0.9831229,0.000009861245,0.008467072],"genre_scores_gemma":[0.0005157363,0.000762731,0.00002857505,0.000126551,0.0008108675,0.00004677286,0.9836959,0.00004753244,0.01396536],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.005498285,"threshold_uncertainty_score":0.9998099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01095578489524498,"score_gpt":0.2242952325973266,"score_spread":0.2133394477020817,"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."}}