{"id":"W4413385881","doi":"10.18260/1-2--57551","title":"Work-in-Progress: TextMatch - A Semantically Enhanced Textbook Recommendation System","year":2025,"lang":"en","type":"article","venue":"","topic":"Educational Assessment and Pedagogy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Recommender system; Information retrieval; Work (physics); World Wide Web; Data science; Engineering","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005921426,0.00006718516,0.0001111673,0.0001111583,0.0001956176,0.00008846378,0.0001508735,0.00007105489,0.001337886],"category_scores_gemma":[0.00003490164,0.00006304102,0.00003163604,0.0004932032,0.00007548119,0.0001452492,0.00002478212,0.00007982824,0.0001716887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002021114,"about_ca_system_score_gemma":0.0004068255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005820948,"about_ca_topic_score_gemma":0.002914836,"domain_scores_codex":[0.9990871,0.0001527236,0.0002132481,0.0001786846,0.0001509976,0.0002172598],"domain_scores_gemma":[0.999517,0.0002251868,0.00004291873,0.00008722499,0.00008368853,0.00004393619],"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":[0.00002627348,0.0001372485,0.05942755,0.00004742442,0.00001871744,7.59809e-7,0.004024039,0.000001287421,0.00003554468,0.8637391,0.01167103,0.06087098],"study_design_scores_gemma":[0.001201378,0.00005634841,0.1406606,0.0008693823,0.00005289378,4.907153e-7,0.1147162,0.0002400274,0.0004360173,0.01790365,0.7231835,0.0006795535],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04623162,0.00006012493,0.003569571,0.03055661,0.0007394427,0.0003606172,7.748531e-7,0.0001377274,0.9183435],"genre_scores_gemma":[0.9560336,0.00001819082,0.001517355,0.0003209604,0.0001126767,0.00006646516,0.0000105379,0.0000034596,0.04191672],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.909802,"threshold_uncertainty_score":0.999575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02099547839356965,"score_gpt":0.4010243901885491,"score_spread":0.3800289117949794,"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."}}