{"id":"W4387306077","doi":"10.32920/24236590","title":"The 99 AI Challenge: Empowering a University Community through an Open Learning Pilot","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mainstream; Artificial intelligence; Field (mathematics); Deep learning; Applications of artificial intelligence; Sociology; Library science; Computer science; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03834703,0.0006006924,0.0004166446,0.001008665,0.02112705,0.01578947,0.005559006,0.008192387,0.03167095],"category_scores_gemma":[0.05237871,0.0005146183,0.0006878548,0.001090071,0.01334926,0.02225117,0.04486555,0.01089466,0.009265182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005355124,"about_ca_system_score_gemma":0.03726831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005303475,"about_ca_topic_score_gemma":0.01503765,"domain_scores_codex":[0.9729347,0.01755634,0.0003359234,0.001127378,0.003146796,0.004898789],"domain_scores_gemma":[0.8853813,0.01466811,0.0016299,0.007703484,0.0076796,0.08293751],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.001179447,0.01013165,0.0107321,0.0004288145,0.00003317679,0.002376618,0.1128753,0.0009133054,0.002762582,0.1160204,0.4358816,0.306665],"study_design_scores_gemma":[0.0005111258,0.002541127,0.006806092,0.0005745941,0.00002249028,0.0004474401,0.1751685,0.002681125,0.001922763,0.08191866,0.7272372,0.00016885],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2542072,0.00137976,0.03735262,0.5007988,0.01117868,0.003186213,0.0008410873,0.003087783,0.1879679],"genre_scores_gemma":[0.8098035,0.0009061712,0.03691034,0.05027715,0.002320352,0.003143159,0.0007628485,0.0010782,0.09479827],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03834703,"threshold_uncertainty_score":0.2028009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5648940519907996,"score_gpt":0.5223121086132735,"score_spread":0.04258194337752608,"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."}}