{"id":"W7165761213","doi":"10.7146/kvant.168141","title":"Matematiske modeller i kunstig intelligens","year":2018,"lang":"","type":"article","venue":"KVANT","topic":"Psychiatry, Mental Health, Neuroscience","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Compute Canada","funders":"","keywords":"MODELLER","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009750869,0.0005464673,0.0005212153,0.0002832278,0.001045103,0.0005273517,0.00308461,0.0001925174,0.0005780634],"category_scores_gemma":[0.00007272947,0.000520307,0.0001734994,0.001369122,0.001045844,0.0009608237,0.001084088,0.0004795814,0.008534762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002189608,"about_ca_system_score_gemma":0.0006590106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001209298,"about_ca_topic_score_gemma":0.0001302559,"domain_scores_codex":[0.9940943,0.0002776623,0.001143313,0.001726405,0.001164085,0.001594284],"domain_scores_gemma":[0.9962961,0.0001047325,0.0004277113,0.002159848,0.0002274247,0.0007841465],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003171475,0.004336048,0.00240587,0.002424784,0.0001165888,0.0004774102,0.05319256,0.001050764,0.01948058,0.3193417,0.1202435,0.476613],"study_design_scores_gemma":[0.0004363593,0.001460036,0.001038446,0.0005620659,0.00002125704,0.0002893966,0.0001783926,0.9438324,0.01526726,0.01103478,0.02497386,0.000905746],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0672368,0.001404988,0.8557382,0.003910845,0.04018166,0.001317511,0.00004432086,0.0003709463,0.02979479],"genre_scores_gemma":[0.9680127,0.0005044031,0.02338539,0.00399894,0.0008706499,0.00002078287,0.000001264806,0.00004634111,0.003159533],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9427816,"threshold_uncertainty_score":0.9997249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03966110316489552,"score_gpt":0.3102151799221591,"score_spread":0.2705540767572636,"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."}}