{"id":"W4240222363","doi":"10.21153/ps2015vol1no1art463","title":"Thank You","year":2015,"lang":"en","type":"article","venue":"Persona Studies","topic":"Persona Design and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Exhibition; Persona; Library science; Management; Enthusiasm; Sociology; Media studies; Public relations; Political science; Psychology; Art history; Art; Humanities; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016046,0.00008366472,0.0001090317,0.00003547832,0.0001206942,0.00004091334,0.0003839468,0.00001314501,0.000002778537],"category_scores_gemma":[0.00005982816,0.00006778964,0.00003544604,0.000218281,0.00006167594,0.0001769391,0.0001646179,0.00004855031,0.0002902041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004279837,"about_ca_system_score_gemma":0.00003798323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001482662,"about_ca_topic_score_gemma":0.000003798413,"domain_scores_codex":[0.9993374,0.00001926665,0.00007225583,0.0002203544,0.0001833258,0.000167433],"domain_scores_gemma":[0.9994847,0.00004064363,0.00002528468,0.0002553117,0.0001092872,0.00008472989],"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":[0.000008632168,0.0001553159,0.00346135,0.00002302449,0.0001957442,0.00002728041,0.07041292,0.00001053757,0.0008568636,0.5109853,0.3541256,0.05973741],"study_design_scores_gemma":[0.002313173,0.0003718821,0.01017531,0.00007073596,0.00006980728,0.00009475044,0.04221864,0.02128779,0.002963873,0.1318074,0.7870251,0.001601531],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1315231,0.07812549,0.4244571,0.1154292,0.003243788,0.001213158,0.00002768233,0.003287136,0.2426932],"genre_scores_gemma":[0.9748527,0.0001580032,0.0213608,0.0007835632,0.0001308293,0.00006628867,6.863257e-7,0.00000516203,0.002642008],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8433295,"threshold_uncertainty_score":0.3730083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2175150984050208,"score_gpt":0.3538622614365482,"score_spread":0.1363471630315274,"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."}}