{"id":"W4320525777","doi":"10.1117/12.2650372","title":"Mitigating inadvertent retinal “bites” in vitrectomy with a smart vitrector equipped by a fiber-based OCT sensor","year":2023,"lang":"en","type":"article","venue":"","topic":"Retinal and Macular Surgery","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Hôpital Maisonneuve-Rosemont","funders":"","keywords":"Retinal; Computer science; Vitrectomy; Ophthalmology; Medicine","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":[0.00067699,0.000426881,0.0003161754,0.0005341269,0.0004464677,0.0005445804,0.0004060732,0.001013917,0.000902585],"category_scores_gemma":[0.001949068,0.0003988477,0.0004700863,0.0002092231,0.0004831087,0.001051069,0.0008919605,0.0008301416,0.0001975718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002154059,"about_ca_system_score_gemma":0.0005089141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007782095,"about_ca_topic_score_gemma":0.001738969,"domain_scores_codex":[0.9993433,0.0001284512,0.00005678457,0.0000826406,0.0002760067,0.0001126871],"domain_scores_gemma":[0.9987499,0.0003817799,0.0004233607,0.0001391655,0.0002121408,0.0000935964],"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":[0.002082321,0.0004769691,0.05376248,0.0004578174,0.0001765424,0.006417828,0.0007489343,0.003207438,0.7380462,0.0009071488,0.002671536,0.1910447],"study_design_scores_gemma":[0.0001552443,0.007478433,0.1628761,0.0002393339,0.0007373997,0.05927773,0.001401834,0.1123991,0.6384281,0.001612756,0.0149662,0.0004277768],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8847087,0.001974891,0.1094389,0.0007646412,0.000235018,0.00007467306,0.0000585444,0.0004954034,0.002249262],"genre_scores_gemma":[0.9513411,0.000530288,0.04662447,0.0004490704,0.00005420566,0.00001973941,0.0000322837,0.00004098117,0.0009078455],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001013917,"threshold_uncertainty_score":0.003580332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01482180455920995,"score_gpt":0.2538358817995696,"score_spread":0.2390140772403596,"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."}}