{"id":"W4210588147","doi":"10.1145/3511322.3511327","title":"AI education matters","year":2021,"lang":"en","type":"article","venue":"AI Matters","topic":"Topic Modeling","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact; University of Toronto","funders":"","keywords":"Autoencoder; Artificial intelligence; Computer science; Sentence; Sequence (biology); Deep learning; Ideal (ethics); Word (group theory); Artificial neural network; Noise reduction; Natural language processing; Linguistics","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":[],"consensus_categories":[],"category_scores_codex":[0.004002159,0.001074623,0.0006399204,0.001409828,0.004078616,0.01061007,0.001594906,0.006022363,0.2780316],"category_scores_gemma":[0.028458,0.00039895,0.0007215521,0.001684529,0.00274278,0.01179836,0.005093982,0.007458567,0.1888001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004082616,"about_ca_system_score_gemma":0.00810293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002702168,"about_ca_topic_score_gemma":0.005639245,"domain_scores_codex":[0.9953967,0.0009293444,0.0002185651,0.0008212664,0.001832733,0.0008014136],"domain_scores_gemma":[0.9809996,0.003373842,0.0009166485,0.001569043,0.00486497,0.008275873],"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":[0.000009374,0.00002375295,0.0002860168,0.00006254428,0.000002779129,0.00004049462,0.0001635072,0.00007170012,0.00007426432,0.02064289,0.9353709,0.04325183],"study_design_scores_gemma":[0.000002613688,0.000009262636,0.0002063949,0.00009900368,0.00000193351,0.00009088675,0.0002634761,0.0001051073,0.00005614241,0.01646784,0.9826922,0.000005064428],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.001387376,0.006716474,0.005405606,0.6823695,0.05497858,0.00005803479,0.001025024,0.001694559,0.2463649],"genre_scores_gemma":[0.04577529,0.009541098,0.005106451,0.200046,0.03448167,0.0002006176,0.001816742,0.002317794,0.7007143],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2780316,"threshold_uncertainty_score":0.9301084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01100292593406565,"score_gpt":0.2575460242079157,"score_spread":0.24654309827385,"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."}}