{"id":"W1988868142","doi":"10.1109/iros.2010.5652538","title":"Image-guided robot-assisted microscope objective lens positioning: Application in patch clamping","year":2010,"lang":"en","type":"article","venue":"","topic":"Image Processing Techniques and Applications","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Lens (geology); Micromanipulator; Microscope; Computer science; Focus (optics); Computer vision; Clamping; Artificial intelligence; Robot; Optics; Autofocus; Position (finance); Image processing; Image (mathematics); Physics","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":[0.0003065369,0.0003560861,0.000544033,0.0002017247,0.0002344005,0.000386253,0.001256798,0.0008092202,0.001289491],"category_scores_gemma":[0.0004389501,0.0002567363,0.0002017001,0.0002899037,0.0003473832,0.0004333104,0.0004139446,0.0004133772,0.000656962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003034857,"about_ca_system_score_gemma":0.0002586118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0011687,"about_ca_topic_score_gemma":0.001054005,"domain_scores_codex":[0.9998474,0.00001410747,0.00001012443,0.00006188213,0.00004750404,0.00001883648],"domain_scores_gemma":[0.9996985,0.00009558986,0.00004799291,0.00005519353,0.00006457506,0.00003811956],"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":[0.0001044096,0.00002218149,0.0002365777,0.0002056291,0.0000102241,0.0001579693,0.00009218062,0.00113786,0.9484618,0.0004063213,0.0003368902,0.04882811],"study_design_scores_gemma":[0.00003971886,0.0004881943,0.003301477,0.00003145876,0.00003903958,0.001213595,0.00005888019,0.02691405,0.9582134,0.0003299641,0.009326241,0.00004399337],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2038384,0.004852832,0.7855755,0.0003471834,0.0001874369,0.0001715355,0.0001606966,0.002314474,0.002551903],"genre_scores_gemma":[0.4460684,0.00303399,0.5461485,0.00009119351,0.00004307545,0.0001269806,0.0001563852,0.0001256675,0.004205825],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001289491,"threshold_uncertainty_score":0.004313767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01147549382813261,"score_gpt":0.2713275277291063,"score_spread":0.2598520339009737,"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."}}