{"id":"W2402290094","doi":"","title":"Developing Minimally Impactful Protocols for DNA Analysis of Museum Collection Bone Artifacts","year":2016,"lang":"en","type":"dissertation","venue":"Summit (Simon Fraser University)","topic":"Conservation Techniques and Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001260666,0.0002700101,0.0006295286,0.001522412,0.0004835218,0.00006742147,0.0002020247,0.0001724441,0.0004924102],"category_scores_gemma":[0.00006282186,0.0002522153,0.0004225702,0.0004956385,0.00007953262,0.0002428735,0.0000303035,0.000094792,0.000005152275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002258106,"about_ca_system_score_gemma":0.000239741,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004543605,"about_ca_topic_score_gemma":0.4369409,"domain_scores_codex":[0.9988089,0.00003992774,0.0003748488,0.0003368736,0.0002008904,0.0002386],"domain_scores_gemma":[0.9982936,0.0001369557,0.0005519038,0.0002214366,0.0007442024,0.00005193855],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01122667,0.001161393,0.2045285,0.005730009,0.02752926,0.0001040795,0.02152531,0.00001545098,0.0006663771,0.3675334,0.3337674,0.02621217],"study_design_scores_gemma":[0.0007760433,0.0002700145,0.003056198,0.0004471852,0.001753105,1.037588e-9,0.04361848,0.00003328211,0.006201185,0.0005628061,0.9427341,0.0005476187],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8648194,0.00010991,0.00202552,0.001376822,0.0008507055,0.02399195,0.001742295,0.0006263412,0.104457],"genre_scores_gemma":[0.6246824,0.0002726248,0.001036191,0.0001735519,0.0002878024,0.001196145,0.002644374,0.0001189335,0.369588],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6089666,"threshold_uncertainty_score":0.999993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04471224337923221,"score_gpt":0.2719540097427467,"score_spread":0.2272417663635145,"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."}}