{"id":"W2604334327","doi":"10.14504/ajr.4.3.3","title":"Comparing Three Brands of Cotton T-Shirts","year":2017,"lang":"en","type":"article","venue":"AATCC Journal of Research","topic":"Textile materials and evaluations","field":"Materials Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Alberta; Central Michigan University","keywords":"Null hypothesis; Textile; Mathematics; Statistics; Significant difference; Null (SQL); Food science; Toxicology; Computer science; Chemistry; Biology; Composite material; Materials science; Data mining","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[],"category_scores_codex":[0.00664079,0.00006501896,0.0002882764,0.00016491,0.0004844311,0.0003280792,0.0009295592,0.00004698123,0.0009611521],"category_scores_gemma":[0.0009356055,0.00004949179,0.00007056459,0.00006599779,0.0003673644,0.0004053727,0.0002466634,0.0002003462,0.00008844394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003519845,"about_ca_system_score_gemma":0.0001909213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002283782,"about_ca_topic_score_gemma":0.0001282026,"domain_scores_codex":[0.9979417,0.0001897067,0.0004457569,0.0001043128,0.001028596,0.0002899028],"domain_scores_gemma":[0.9979028,0.0002001062,0.0004437406,0.0004505456,0.0008923745,0.0001104616],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002238565,0.00007572529,0.01918842,0.00005878586,0.00001516059,0.00002209626,0.000348655,0.00008999239,0.9749765,0.001186978,0.002256856,0.001557005],"study_design_scores_gemma":[0.001708061,0.0006656622,0.3334089,0.0004691103,0.0000269913,0.00009481492,0.0002840928,0.0005220239,0.6488293,0.01203253,0.001815635,0.0001428616],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946311,0.0001748874,0.0001867605,0.0007084216,0.000595479,0.00008405356,0.000005310028,0.00000462251,0.003609339],"genre_scores_gemma":[0.9988846,0.00005391148,0.0005901813,0.000004878103,0.0002934628,0.000001732603,4.049906e-7,0.00000865771,0.0001622094],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3261471,"threshold_uncertainty_score":0.9999521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3140173591770975,"score_gpt":0.4758391531640102,"score_spread":0.1618217939869127,"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."}}