{"id":"W2810021483","doi":"10.1167/tvst.7.4.1","title":"Robotic Remote Controlled Stereo Slit Lamp","year":2018,"lang":"en","type":"article","venue":"Translational Vision Science & Technology","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Eye Institute","keywords":"Computer science; Slit lamp; Ethernet; Laptop; The Internet; Internet access; Stereo camera; Local area network; Computer vision; Artificial intelligence; Computer graphics (images); Computer hardware; Computer network; Optics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002738953,0.0001112245,0.0001758639,0.0005656094,0.0002631741,0.00004494626,0.000435003,0.0001047524,0.0001291564],"category_scores_gemma":[0.00004419916,0.0001001043,0.00004178362,0.001772154,0.0008436368,0.0001596865,0.00002448097,0.0001327868,0.000275213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003061812,"about_ca_system_score_gemma":0.00004854289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001792702,"about_ca_topic_score_gemma":0.000007328247,"domain_scores_codex":[0.9988836,0.000005376836,0.0002569806,0.0002669312,0.0003038999,0.0002831841],"domain_scores_gemma":[0.9993488,0.00006449792,0.00002950215,0.0003207083,0.0001738097,0.0000627168],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006592608,0.0001088847,0.001237642,0.00002122308,0.00004887485,0.000003965185,0.0004167851,0.1012601,0.3463432,0.3700083,0.0006110769,0.179874],"study_design_scores_gemma":[0.001694846,0.000111767,0.004687569,0.00002504123,0.00001871973,0.00001989389,0.00003671167,0.9163226,0.01008581,0.05731539,0.009409599,0.0002720651],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1057487,0.0001947602,0.8759442,0.005134736,0.0003749399,0.000461707,0.000004799821,0.001014286,0.01112193],"genre_scores_gemma":[0.97879,0.000009735058,0.02096845,0.00005897772,0.00005621469,0.00001087811,0.00000242614,0.00001220832,0.0000911309],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8730413,"threshold_uncertainty_score":0.4082135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01456093145753073,"score_gpt":0.2966334267034018,"score_spread":0.282072495245871,"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."}}