{"id":"W4414909179","doi":"10.1017/9781009552356.013","title":"Conclusion","year":2025,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Field (mathematics); Work (physics); Natural language; Natural (archaeology); Language technology; Language industry","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":[],"category_scores_codex":[0.004781256,0.000837218,0.0004947949,0.001404971,0.002852921,0.00709365,0.002522801,0.004143585,0.1752165],"category_scores_gemma":[0.01655169,0.0002550351,0.0009676684,0.001123812,0.001462901,0.004815295,0.003894312,0.003834428,0.09302808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004909629,"about_ca_system_score_gemma":0.005694986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005646608,"about_ca_topic_score_gemma":0.006208028,"domain_scores_codex":[0.9955384,0.0008141728,0.0001890122,0.000942027,0.001833501,0.0006828287],"domain_scores_gemma":[0.9924797,0.0009194556,0.0002790838,0.0006239816,0.004291375,0.001406511],"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":[0.0001221816,0.00006238825,0.002217635,0.0004902431,0.00002492492,0.0004213652,0.001419365,0.0002068479,0.000367235,0.05682965,0.7987499,0.1390883],"study_design_scores_gemma":[0.00001080844,0.00002185106,0.0009195091,0.000559142,0.000009928563,0.0003047544,0.001199457,0.00006727462,0.000266987,0.01139226,0.9852377,0.00001026964],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006027864,0.01047432,0.01535502,0.231378,0.0269258,0.0003334452,0.003415851,0.001309793,0.7047799],"genre_scores_gemma":[0.07716723,0.01150249,0.01169077,0.1531515,0.006965717,0.0004192844,0.004807743,0.001258929,0.7330364],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8247836,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09443365201978529,"score_gpt":0.3192489162977757,"score_spread":0.2248152642779904,"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."}}