{"id":"W6892146363","doi":"10.5064/f6buax58/hbeuq0","title":"Burke_EDI_NENA.NVivoProject.2017.nvp","year":2018,"lang":"en","type":"dataset","venue":"Syracuse University Qualitative Data Repository","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Plan (archaeology); Interface (matter); File format; Window (computing); Table (database); Data file","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00967456,0.001326288,0.001428308,0.004110607,0.00206184,0.006444484,0.003257621,0.001422121,0.7390398],"category_scores_gemma":[0.0603695,0.002171276,0.001195553,0.007551007,0.001236728,0.0050148,0.005348122,0.003742952,0.4816442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002295519,"about_ca_system_score_gemma":0.007172803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01126677,"about_ca_topic_score_gemma":0.02287391,"domain_scores_codex":[0.9956252,0.001997506,0.0005295958,0.0005745516,0.0008811857,0.0003920523],"domain_scores_gemma":[0.973315,0.0132441,0.001213158,0.005611921,0.005534464,0.001081378],"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":[0.00003033009,0.000008556032,0.0001105686,0.0008417586,0.000008081744,0.000004712462,0.000200314,0.00003621845,0.00002493328,0.002093714,0.9891482,0.007492552],"study_design_scores_gemma":[0.00007471307,0.000005658486,0.000572492,0.0009324495,0.00000883916,0.00001611744,0.0002906568,0.00007624488,0.0001099495,0.00315634,0.9947358,0.00002075037],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001248623,0.0001517084,0.002154905,0.0006804315,0.0002520146,0.0007115617,0.9658243,0.00226013,0.02784009],"genre_scores_gemma":[0.004444115,0.0008680692,0.02517944,0.001312222,0.0001555337,0.04149496,0.8513374,0.01057726,0.06463107],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2609602,"threshold_uncertainty_score":0.372228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1150143811452468,"score_gpt":0.3794828287003376,"score_spread":0.2644684475550908,"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."}}