{"id":"W6931555795","doi":"10.5281/zenodo.6818936","title":"Tamias ruficaudus","year":2016,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Subspecies; Riparian zone; Nest (protein structural motif); Chromosome; Dorsum","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000744525,0.0006441959,0.0002005168,0.001963774,0.001263246,0.0003527006,0.0006606684,0.0004634802,0.0218673],"category_scores_gemma":[0.0002495238,0.0001698107,0.0001678356,0.0006898814,0.0005846185,0.0007130229,0.0007129333,0.0003654095,0.007061287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001020669,"about_ca_system_score_gemma":0.0002809718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04179197,"about_ca_topic_score_gemma":0.08987248,"domain_scores_codex":[0.9998888,0.000005532966,0.000007956263,0.00005086119,0.00002707699,0.00001971558],"domain_scores_gemma":[0.9998904,0.00001313486,0.00004753676,0.000007705761,0.00002879393,0.00001235029],"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":[0.0005685868,0.0001018535,0.02985965,0.0007579778,0.0000544498,0.002319526,0.002495399,0.0007188468,0.02334134,0.00609115,0.0780918,0.8555994],"study_design_scores_gemma":[0.00006512271,0.0002387004,0.2751217,0.0006857077,0.000125556,0.002745189,0.002033684,0.000332492,0.002605874,0.001198651,0.7148009,0.0000464982],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3183291,0.0180141,0.002899404,0.001407238,0.001379574,0.0003849262,0.008875336,0.001083043,0.6476273],"genre_scores_gemma":[0.8763312,0.002900296,0.00385405,0.001579314,0.0002462989,0.0002100371,0.006975192,0.00006851943,0.1078351],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04179197,"threshold_uncertainty_score":0.08309746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04928718133489342,"score_gpt":0.2419540854753738,"score_spread":0.1926669041404804,"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."}}