{"id":"W1985441534","doi":"10.1097/opx.0b013e318205a162","title":"A Compact Clinical Instrument for Quantifying Suppression","year":2010,"lang":"en","type":"article","venue":"Optometry and Vision Science","topic":"Ophthalmology and Visual Impairment Studies","field":"Medicine","cited_by":87,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","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":[0.004555554,0.001369745,0.0009658345,0.002086712,0.0003257453,0.001000047,0.001256589,0.001072835,0.006051579],"category_scores_gemma":[0.01065639,0.0003470261,0.0005074058,0.0008465173,0.0009503048,0.001107659,0.001344589,0.001096941,0.002385639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003567499,"about_ca_system_score_gemma":0.000768021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002185644,"about_ca_topic_score_gemma":0.0003264772,"domain_scores_codex":[0.99457,0.002119649,0.0005115741,0.000791536,0.001875147,0.0001320227],"domain_scores_gemma":[0.9938837,0.002340889,0.0009709848,0.0008947511,0.001642153,0.0002676253],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001468206,0.0004137672,0.02135974,0.001644719,0.0001302988,0.0004785095,0.0003358631,0.001144434,0.642693,0.00280867,0.006648666,0.320874],"study_design_scores_gemma":[0.001429163,0.01599916,0.3111399,0.001315631,0.0009106009,0.03673642,0.000993701,0.05291135,0.4792455,0.008783171,0.08972367,0.0008118005],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06727871,0.005541225,0.9104365,0.0008455208,0.0006742139,0.002650044,0.001811138,0.003461339,0.007301186],"genre_scores_gemma":[0.3416544,0.002633612,0.642291,0.001419621,0.0006830473,0.005897034,0.001278178,0.000419064,0.003724132],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006051579,"threshold_uncertainty_score":0.02409238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1368879225232004,"score_gpt":0.5948594678719744,"score_spread":0.457971545348774,"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."}}