{"id":"W4405698885","doi":"10.1107/s2053273324097845","title":"Quarter century of the statistical method in crystallography","year":2024,"lang":"en","type":"article","venue":"Acta Crystallographica Section A Foundations and Advances","topic":"Crystallization and Solubility Studies","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); History; Archaeology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004018066,0.0001335649,0.000185304,0.0002905207,0.0002383954,0.0001420714,0.0001154994,0.0000581201,0.000391786],"category_scores_gemma":[0.00009087377,0.00009404543,0.00008909543,0.00106282,0.0004053144,0.0004271822,0.00006197629,0.000140415,2.835711e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001900338,"about_ca_system_score_gemma":0.00003785711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006214903,"about_ca_topic_score_gemma":0.001199713,"domain_scores_codex":[0.9987137,0.0001747843,0.0003700105,0.0003483872,0.000210896,0.0001822462],"domain_scores_gemma":[0.9992751,0.0003501353,0.00007372224,0.000186585,0.00007177315,0.00004271937],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009564732,0.0004623345,0.02525126,0.0008080204,0.0001074499,0.000006805344,0.004558803,0.0004254413,0.8756,0.07881478,0.001100807,0.01276863],"study_design_scores_gemma":[0.0004325553,0.0001460559,0.06642248,0.0001868505,0.00006548511,0.00003050909,0.00378348,0.001910259,0.0001722865,0.02458437,0.9019303,0.0003353722],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8477125,0.005735237,0.1347092,0.003730814,0.00286603,0.0009705906,0.0002503729,0.0003221066,0.003703155],"genre_scores_gemma":[0.9957512,0.0009142329,0.003123743,0.00006508979,0.00004016916,0.00003982912,0.00001164036,0.000009429575,0.00004464639],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9008295,"threshold_uncertainty_score":0.4289781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00976946059791508,"score_gpt":0.2930423198097747,"score_spread":0.2832728592118596,"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."}}