{"id":"W6931790971","doi":"10.5683/sp3/sejura","title":"Scott Brown (Virtu-WIL)","year":2021,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Saskatchewan Polytechnic","funders":"","keywords":"Perspective (graphical); Subject (documents); Context (archaeology); Identification (biology)","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":[0.002444883,0.002752834,0.001255396,0.004344515,0.001184901,0.003047015,0.002558582,0.00286061,0.2127216],"category_scores_gemma":[0.01778024,0.0008027519,0.001266454,0.003725489,0.0004608108,0.001411667,0.00284849,0.001684196,0.2513711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009694208,"about_ca_system_score_gemma":0.002468911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02171846,"about_ca_topic_score_gemma":0.0376471,"domain_scores_codex":[0.9985261,0.0003953901,0.0001368121,0.0004261543,0.000294964,0.0002206469],"domain_scores_gemma":[0.9943165,0.002548825,0.0004468025,0.001039772,0.00100072,0.0006473593],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008428058,0.00001351011,0.000650364,0.0003379126,0.00001440443,0.00002093525,0.00001687548,0.0002171295,0.00003975267,0.0002101509,0.9953305,0.003064317],"study_design_scores_gemma":[0.0005933996,0.00004349282,0.002805488,0.0009088422,0.00005559231,0.0001260847,0.0001246573,0.001113191,0.0003547393,0.002607237,0.9912199,0.00004739931],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002050397,0.0001744854,0.0002296176,0.0002954033,0.00009365501,0.00003442853,0.9960498,0.0007673776,0.002150166],"genre_scores_gemma":[0.000872676,0.0001548436,0.0006028624,0.0002803157,0.00003227459,0.0001833065,0.9951388,0.0002813442,0.002453591],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2127216,"threshold_uncertainty_score":0.7116245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02203533849977121,"score_gpt":0.2739503618907838,"score_spread":0.2519150233910126,"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."}}