{"id":"W6931719923","doi":"10.5683/sp2/c4dlmg","title":"Perspectives Canada: Volume VIII No. 2 Second Quarter 1999","year":2019,"lang":"en","type":"dataset","venue":"Borealis","topic":"Corrosion Behavior and Inhibition","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sample (material); Quarter (Canadian coin); Government (linguistics); Confidence interval; Current (fluid)","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":[0.001702878,0.001760958,0.001759116,0.01025159,0.003055542,0.009518196,0.002281196,0.00142681,0.2157975],"category_scores_gemma":[0.009250341,0.001139269,0.001156659,0.03485357,0.0006218932,0.001761614,0.00164306,0.002383644,0.1261909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02551163,"about_ca_system_score_gemma":0.04943914,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9016238,"about_ca_topic_score_gemma":0.9098769,"domain_scores_codex":[0.9968126,0.0001603085,0.0001560133,0.00046264,0.001819752,0.0005885999],"domain_scores_gemma":[0.989444,0.00109149,0.0005090591,0.001069,0.006617093,0.001269352],"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":[0.00001046535,0.000004355974,0.0004490186,0.00006932799,0.000004171685,0.000005620655,0.00001063658,0.00003816254,0.000007374063,0.0002466055,0.9964542,0.002700048],"study_design_scores_gemma":[0.00001899275,0.000002662328,0.009328102,0.0001740802,0.000006519741,0.00001007021,0.0001290674,0.0001272682,0.00006034023,0.0003071103,0.989823,0.00001280478],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001965311,0.0003265414,0.00005075031,0.0006094825,0.0001771843,0.00001517381,0.9903008,0.000133053,0.00819058],"genre_scores_gemma":[0.00129241,0.0008288092,0.0002298337,0.0001948922,0.00007250949,0.00008227942,0.9707434,0.0001304644,0.02642541],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2157975,"threshold_uncertainty_score":0.7219144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01126457962350688,"score_gpt":0.235731401062829,"score_spread":0.2244668214393221,"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."}}