{"id":"W3131538362","doi":"10.1007/s10651-020-00481-1","title":"Halton iterative partitioning master frames","year":2021,"lang":"en","type":"article","venue":"Environmental and Ecological Statistics","topic":"Digital Image Processing Techniques","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"North Island College","funders":"","keywords":"Sample (material); Sampling (signal processing); Frame (networking); Partition (number theory); Computer science; Sampling design; Sampling frame; Population; Statistics; Range (aeronautics); Sample size determination; Resource (disambiguation); Mathematics; Computer vision","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001170341,0.0009692443,0.001049557,0.001268071,0.0007465332,0.00172075,0.001888445,0.001515019,0.01501461],"category_scores_gemma":[0.005634476,0.0006954644,0.0007034336,0.001081628,0.0007293111,0.001755941,0.002475302,0.001525444,0.004269943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009218858,"about_ca_system_score_gemma":0.001518558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004439089,"about_ca_topic_score_gemma":0.006674661,"domain_scores_codex":[0.9992417,0.000191473,0.0000431532,0.000182846,0.0002553422,0.00008548213],"domain_scores_gemma":[0.9984194,0.0006311621,0.00006783804,0.000361033,0.0004490152,0.0000714704],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005879484,0.00007652487,0.0006983418,0.0001790581,0.00007266798,0.0001199093,0.0003183489,0.1673816,0.01498405,0.1518366,0.01178149,0.6519635],"study_design_scores_gemma":[0.00003528527,0.00005387446,0.0001919958,0.00002494538,0.00001487592,0.00006663238,0.0000577971,0.940955,0.007985627,0.03744148,0.01315179,0.00002072467],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002585116,0.00008401921,0.994523,0.00007023256,0.00003603964,0.00004130212,0.00007704236,0.0002678694,0.002315319],"genre_scores_gemma":[0.06689535,0.0002084931,0.9194294,0.0001053144,0.00007505572,0.0002657956,0.000516016,0.0003714626,0.01213312],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01501461,"threshold_uncertainty_score":0.05022889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01683965093410506,"score_gpt":0.2250876455317371,"score_spread":0.208247994597632,"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."}}