{"id":"W4281626813","doi":"10.29173/isotl600","title":"Who's at the Research Table?","year":2022,"lang":"en","type":"article","venue":"Imagining SoTL","topic":"Higher Education Research Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Royal University","funders":"","keywords":"Realm; Diversity (politics); Inclusion (mineral); Table (database); Race (biology); Psychology; Relation (database); Round table; Reflection (computer programming); Medical education; Pedagogy; Mathematics education; Sociology; Social psychology; Computer science; Political science; Session (web analytics); Medicine; Gender studies; World Wide Web","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005917987,0.00005065265,0.0000716299,0.00009754751,0.008231705,0.0001582236,0.0006579757,0.00001197481,0.008190096],"category_scores_gemma":[0.0011608,0.00004127044,0.00002878677,0.001156684,0.001093848,0.0001065289,0.0007962163,0.0005205615,0.0003501318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00051197,"about_ca_system_score_gemma":0.0006125325,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00793115,"about_ca_topic_score_gemma":0.001446171,"domain_scores_codex":[0.9961296,0.001441265,0.00009714606,0.0002097111,0.001526323,0.000595936],"domain_scores_gemma":[0.998203,0.001170135,0.00002936172,0.0002674705,0.0002412705,0.00008874368],"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":[0.000008181944,0.00003184205,0.02437974,0.000002397494,0.00001489492,0.000005825482,0.08251277,0.00002008725,0.00007434662,0.0287344,0.8619065,0.002309072],"study_design_scores_gemma":[0.00006077741,0.00001725652,0.003652741,0.000002173161,0.00000153374,6.706857e-7,0.05314506,0.000008850148,0.00003129614,0.0009875132,0.942042,0.00005012608],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1048358,0.001815882,0.00000499392,0.4033502,0.0008740157,0.0004076835,0.0000171376,0.0001187246,0.4885755],"genre_scores_gemma":[0.781337,0.00007382097,0.00004842481,0.0004783076,0.0003374986,0.0002989329,0.000002684364,0.00001107089,0.2174123],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6765011,"threshold_uncertainty_score":0.9986751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.113211395406911,"score_gpt":0.5000623415384591,"score_spread":0.3868509461315481,"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."}}