{"id":"W4362600795","doi":"10.24908/iqurcp16459","title":"Journals","year":2023,"lang":"en","type":"article","venue":"Inquiry Queen s Undergraduate Research Conference Proceedings","topic":"Artificial Intelligence Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Publishing; Session (web analytics); Queen (butterfly); Moderation; Scope (computer science); Library science; Sociology; Political science; Psychology; Computer science; World Wide Web; Law; Social psychology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003107574,0.0004880869,0.0005859717,0.00490538,0.003535562,0.01010537,0.001277144,0.001592944,0.4763652],"category_scores_gemma":[0.01363218,0.0004381563,0.0004205107,0.004891606,0.0006960455,0.003585713,0.003421644,0.00189939,0.3133104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002480537,"about_ca_system_score_gemma":0.004568398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001197212,"about_ca_topic_score_gemma":0.003580718,"domain_scores_codex":[0.9961261,0.0004407862,0.0003251806,0.0004903936,0.002265823,0.0003518224],"domain_scores_gemma":[0.9828138,0.001682381,0.0009412179,0.001459118,0.009533591,0.003569792],"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":[0.00002908994,0.00001755534,0.0002187579,0.000176835,0.000001952815,0.00004630507,0.000245882,0.0000158891,0.0005610975,0.005391081,0.9434765,0.0498191],"study_design_scores_gemma":[0.000002714464,0.000006252048,0.0002730984,0.00004409409,7.472862e-7,0.00003210426,0.0001099913,0.000008303441,0.00007425634,0.0004371429,0.9990084,0.000002931293],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002147798,0.004617612,0.0014657,0.02051431,0.03254281,0.0004254504,0.004235521,0.001324581,0.9327261],"genre_scores_gemma":[0.009172422,0.003017023,0.001525395,0.00656229,0.007528299,0.000149394,0.003166877,0.0007090383,0.9681692],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5236348,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2916563475549718,"score_gpt":0.4565487603401903,"score_spread":0.1648924127852184,"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."}}