{"id":"W2065237911","doi":"10.1111/j.1755-3768.2010.4122.x","title":"Exploring new strategies to record and analyse clinical electroretinograms","year":2010,"lang":"en","type":"article","venue":"Acta Ophthalmologica","topic":"Retinal Development and Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; McGill University; Montreal Children's Hospital","funders":"","keywords":"Photopic vision; Erg; Wavelet; Physics; Mathematics; Maxima; Nuclear magnetic resonance; Optics; Astrophysics; Artificial intelligence; Computer science; Retina","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":[0.001454077,0.0007366437,0.0006580571,0.002686205,0.0001589433,0.001321376,0.0006348072,0.0004406298,0.003357976],"category_scores_gemma":[0.004024355,0.0003371024,0.0003332263,0.001134756,0.0005836191,0.002005873,0.0008440406,0.0005482548,0.001648912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002707777,"about_ca_system_score_gemma":0.0003355361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00046657,"about_ca_topic_score_gemma":0.0007326761,"domain_scores_codex":[0.9994272,0.0002306329,0.00006535029,0.0001356895,0.0001150164,0.00002612757],"domain_scores_gemma":[0.9986369,0.0005515821,0.0001459673,0.0002804365,0.0003144141,0.00007077249],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003588451,0.0001258107,0.009978697,0.0004554409,0.0001071428,0.0003723908,0.0002389901,0.003332603,0.1949244,0.004829793,0.001617473,0.7836584],"study_design_scores_gemma":[0.0005247391,0.003367302,0.133558,0.0009821164,0.000832123,0.02066564,0.003081842,0.4073102,0.2523144,0.0796619,0.09724458,0.0004572209],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07654474,0.004893283,0.9113063,0.0009822218,0.0001759244,0.0003485158,0.0005278746,0.001251849,0.003969231],"genre_scores_gemma":[0.2023344,0.003705877,0.78973,0.0003298529,0.0003088946,0.000563685,0.0004518076,0.0001504442,0.002425042],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003357976,"threshold_uncertainty_score":0.01123357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09144676425250223,"score_gpt":0.3399860319783163,"score_spread":0.2485392677258141,"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."}}