{"id":"W4406534133","doi":"10.1016/0967-0653(93)94868-y","title":"10.1016/0967-0653(93)94868-y","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Data Analysis with R","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Multivariate statistics; Multivariate analysis; Econometrics; Environmental science; Statistics; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002492851,0.0001624567,0.0002062022,0.0001358759,0.00009498157,0.0002360858,0.001676819,0.00004944794,0.9927971],"category_scores_gemma":[0.00003412754,0.0001521555,0.00008416911,0.0007696665,0.0000281014,0.0005575355,0.0002545103,0.0001067616,0.9990594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003847796,"about_ca_system_score_gemma":0.00004123492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003863172,"about_ca_topic_score_gemma":6.162339e-7,"domain_scores_codex":[0.9985058,0.0000608409,0.0002244807,0.0004816235,0.0003584491,0.0003688174],"domain_scores_gemma":[0.9984252,0.00005060651,0.00004067293,0.001211516,0.000052587,0.0002193875],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004803995,0.00002978068,8.994927e-8,0.000001392594,0.00001596092,0.00001004578,0.00001737613,0.00009128445,0.000008824964,0.00001700011,0.3593646,0.6404389],"study_design_scores_gemma":[0.0001205629,0.00006577592,0.00002471734,0.000007920538,0.00001404354,0.000009993613,2.653404e-7,0.009171455,0.00008018097,0.00003564051,0.9902635,0.0002059709],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00003634768,0.00003773067,0.000714189,0.0007574504,0.000002486776,0.0001034689,0.00001247077,0.0002828958,0.998053],"genre_scores_gemma":[0.00005716425,1.524537e-7,0.004166448,0.0001666212,0.0000909694,0.00001230554,0.00002176912,0.00001358084,0.995471],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6402329,"threshold_uncertainty_score":0.6204721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006010319443260933,"score_gpt":0.1739484471530853,"score_spread":0.1679381277098244,"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."}}