{"id":"W4252947679","doi":"10.3410/f.717097856.792802907","title":"Faculty Opinions recommendation of A study of eccentric viewing training for low vision rehabilitation.","year":2012,"lang":"en","type":"dataset","venue":"Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature","topic":"Educational Environments and Student Outcomes","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Training (meteorology); Rehabilitation; Eccentric; Computer science; Physical medicine and rehabilitation; Psychology; Medical education; Medicine; Physical therapy; Engineering; Geography","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.003897051,0.0003329155,0.0008879261,0.0003500499,0.0005011014,0.00007834476,0.00124371,0.0003826155,0.0004613604],"category_scores_gemma":[0.0133891,0.000228997,0.0005489899,0.001590239,0.0003796063,0.0004330469,0.0002438259,0.0004337068,0.000009791721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001984402,"about_ca_system_score_gemma":0.0005480448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000173888,"about_ca_topic_score_gemma":0.00002621323,"domain_scores_codex":[0.994617,0.0008433163,0.001741822,0.0004806636,0.00196391,0.0003532147],"domain_scores_gemma":[0.9930807,0.0008604683,0.00195142,0.0007926294,0.003082708,0.0002321018],"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":[0.000009768899,0.002118605,0.0001261026,0.003370278,0.0001219474,1.384626e-8,0.008773706,3.737569e-7,2.475443e-7,0.0005119227,0.98204,0.002926966],"study_design_scores_gemma":[0.0006875028,0.0002860129,0.009452824,0.004275091,0.0002181575,8.115873e-7,0.003163825,0.000002109515,4.131145e-7,0.00003322559,0.9816747,0.0002052935],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001407071,0.0006218662,0.0000266708,0.1235888,0.001072279,0.002974224,0.8716394,0.00001378784,0.00004886643],"genre_scores_gemma":[0.0003254869,0.0002338698,0.0009151067,0.0008676924,0.0003404198,0.0004321596,0.9962626,0.00001791189,0.0006047584],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1246231,"threshold_uncertainty_score":0.9949216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06219617139776989,"score_gpt":0.4323253032081474,"score_spread":0.3701291318103775,"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."}}