{"id":"W2906108313","doi":"","title":"Visually guided vergence in a new stereo camera system","year":2018,"lang":"en","type":"article","venue":"Journal of Computational Vision and Imaging Systems","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer vision; Artificial intelligence; Computer science; Vergence (optics); Foveal; Focus (optics); Stereopsis; Saccade; Gaze; Feature (linguistics); Computer graphics (images); Eye movement","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002610556,0.000207027,0.0002428123,0.0002143984,0.0002793318,0.000406689,0.0006798617,0.0005459441,0.002793403],"category_scores_gemma":[0.0004623772,0.0002214022,0.000254846,0.0001413187,0.0003061803,0.0005909703,0.0006075297,0.000429159,0.0005331699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006348375,"about_ca_system_score_gemma":0.0006892459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007199634,"about_ca_topic_score_gemma":0.01120305,"domain_scores_codex":[0.9997793,0.00002482503,0.000006483905,0.00006172538,0.0001012358,0.00002655297],"domain_scores_gemma":[0.9998444,0.00002030621,0.00001465862,0.00003296206,0.00005670289,0.00003092219],"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":[0.0007287228,0.000320994,0.002722547,0.0001860781,0.000103434,0.0006004632,0.0004760637,0.05672264,0.6039804,0.02490997,0.009105222,0.3001435],"study_design_scores_gemma":[0.0002594648,0.0006669541,0.006598949,0.00002191489,0.00006028208,0.000746569,0.00007456404,0.9160163,0.0475448,0.007118276,0.02078968,0.0001021905],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1829241,0.000611924,0.7925833,0.0004871775,0.0002553371,0.0001689105,0.0003488826,0.003223876,0.01939638],"genre_scores_gemma":[0.7165463,0.0001927853,0.2721902,0.000250398,0.00005970193,0.00006759105,0.0002100338,0.00007863943,0.01040445],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007199634,"threshold_uncertainty_score":0.01431549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01517793210070564,"score_gpt":0.32399877067114,"score_spread":0.3088208385704344,"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."}}