{"id":"W2134601141","doi":"10.1007/978-1-4419-9828-6_12","title":"Optimal Conditions for Live Cell Microscopy and Raster Image Correlation Spectroscopy","year":2011,"lang":"en","type":"book-chapter","venue":"Reviews in fluorescence","topic":"Advanced Fluorescence Microscopy Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University Health Centre; McGill University","funders":"","keywords":"Raster graphics; Digital image correlation; Microscopy; Spectroscopy; Materials science; Artificial intelligence; Computer science; Optics; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002882285,0.0005529967,0.0006608107,0.0001198406,0.00009621865,0.00003661462,0.0003380791,0.0005472082,0.0001238554],"category_scores_gemma":[0.00008566958,0.0005604621,0.0002051825,0.00003230443,0.0004186345,0.00001954812,0.0001915871,0.000377731,0.00008879304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000687964,"about_ca_system_score_gemma":0.00008741408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005297172,"about_ca_topic_score_gemma":0.00000855048,"domain_scores_codex":[0.9978663,0.00004447926,0.0006825692,0.0009076003,0.0001003584,0.0003986848],"domain_scores_gemma":[0.9986486,0.00003097951,0.0004500749,0.00064556,0.0001196514,0.0001050756],"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":[0.00007823303,0.0000393992,0.0001438951,0.0004130696,0.00001215676,0.000004291154,0.00006754533,0.000001017171,0.9852568,0.0008296957,0.0118066,0.001347327],"study_design_scores_gemma":[0.0006297045,0.0007168862,0.00007218462,0.002070918,0.0001160722,0.00003070851,0.00001020428,0.00004899368,0.7215101,0.002927961,0.2707806,0.001085679],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00334639,0.2524804,0.6093527,0.0001513796,0.001451746,0.02145961,0.002121252,0.0002587951,0.1093777],"genre_scores_gemma":[0.0005846706,0.1738563,0.7567135,0.0003261692,0.0003922878,0.0006160413,0.001440369,0.0002608828,0.06580979],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2637467,"threshold_uncertainty_score":0.9996847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01628703310909279,"score_gpt":0.2974979719595492,"score_spread":0.2812109388504564,"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."}}