{"id":"W2062633589","doi":"10.1017/s1431927609094811","title":"Structural Analysis Of Hair Samples For Identification Of Ancient Textiles","year":2009,"lang":"en","type":"article","venue":"Microscopy and Microanalysis","topic":"Cultural Heritage Materials Analysis","field":"Arts and Humanities","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Identification (biology); Chemistry; Polymer science; Materials science; Chromatography; Biology; Botany","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":[0.0001371506,0.0001740944,0.0001081147,0.0006606499,0.0004307467,0.0001735049,0.0001818979,0.0002985903,0.004254187],"category_scores_gemma":[0.0002134687,0.0001641842,0.0001633506,0.0003038047,0.0002696061,0.0001499413,0.0001635475,0.0002193122,0.0004987538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00010223,"about_ca_system_score_gemma":0.0001309369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001368828,"about_ca_topic_score_gemma":0.003739514,"domain_scores_codex":[0.9999202,0.000008062658,0.000003242653,0.00001920775,0.00002954112,0.00001964655],"domain_scores_gemma":[0.9998457,0.00003028813,0.00001877791,0.00001818227,0.00007416727,0.00001281693],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00005727732,0.000009583289,0.001135847,0.00002693353,0.000005680094,0.00006562613,0.00007716088,0.00007741259,0.9953246,0.00006962461,0.00008959975,0.003060611],"study_design_scores_gemma":[0.00001692551,0.0003500036,0.1100529,0.00001909006,0.00005630746,0.001612508,0.0005585236,0.002520546,0.8781856,0.0002222079,0.006393363,0.00001192411],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.988462,0.0004441218,0.007457958,0.00007673827,0.00002898331,0.00002055244,0.0004301215,0.00005389078,0.003025698],"genre_scores_gemma":[0.9908873,0.0002848286,0.005970619,0.00004503497,0.00001445396,0.00001453682,0.0002746263,0.00003731971,0.002471208],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004254187,"threshold_uncertainty_score":0.01423168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02957835301840643,"score_gpt":0.2734273298216687,"score_spread":0.2438489768032623,"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."}}