{"id":"W4393191200","doi":"10.1007/978-3-031-50399-3_8","title":"ADD: Adaptive Vs. Directional Vs. Distance","year":2024,"lang":"en","type":"book-chapter","venue":"","topic":"Neurological disorders and treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Brain Institute; Toronto Western Hospital; University of Toronto","funders":"","keywords":"Computer science","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":[0.0002131943,0.0007361576,0.0003766754,0.000830127,0.000998931,0.003622234,0.0008414693,0.001428931,0.209168],"category_scores_gemma":[0.0008775435,0.0002583813,0.0003895363,0.0009907878,0.001116313,0.004349288,0.001342099,0.002469551,0.09022559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001137177,"about_ca_system_score_gemma":0.0007763362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002964693,"about_ca_topic_score_gemma":0.008598837,"domain_scores_codex":[0.9998515,0.00002641481,0.00000551862,0.00002387358,0.00007564322,0.00001700252],"domain_scores_gemma":[0.9997591,0.0001247126,0.00000922529,0.00001993417,0.00006082459,0.00002629971],"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":[0.00002764175,0.00002139028,0.00007483336,0.0002070433,0.000003324485,0.00006036857,0.0003447933,0.0001709483,0.0003284473,0.1993256,0.6802943,0.1191413],"study_design_scores_gemma":[0.000002330234,0.000005933901,0.0001144554,0.000139684,0.000002037224,0.0001263701,0.0001210027,0.0001043098,0.00008660499,0.03108697,0.9682055,0.000004843977],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001959602,0.008005553,0.003301987,0.002205185,0.002083598,0.000016548,0.0002427839,0.0002077237,0.9837407],"genre_scores_gemma":[0.004471053,0.006172518,0.002316953,0.001859324,0.0008679127,0.0000320689,0.0002791512,0.0003126816,0.9836884],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.209168,"threshold_uncertainty_score":0.6997365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02429492322640354,"score_gpt":0.2533143016558273,"score_spread":0.2290193784294238,"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."}}