{"id":"W6987330931","doi":"","title":"Spatio-temporal image correlation spectroscopy : development and implementation in living cells","year":2006,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Spectroscopy Techniques in Biomedical and Chemical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Image processing; Pattern recognition (psychology); Image (mathematics); Correlation; Digital image correlation; Feature (linguistics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003433343,0.0005853943,0.000728822,0.0006182943,0.000557602,0.001667148,0.002658013,0.001279704,0.004851803],"category_scores_gemma":[0.003147041,0.0006713296,0.000583653,0.0007958413,0.0008578573,0.001102481,0.001433678,0.001318938,0.004034572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009813261,"about_ca_system_score_gemma":0.001400096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00243348,"about_ca_topic_score_gemma":0.003130086,"domain_scores_codex":[0.9991513,0.0001527191,0.00004577939,0.0001752243,0.0004105711,0.00006434943],"domain_scores_gemma":[0.9984905,0.0004475318,0.00006371705,0.0003498684,0.0004999707,0.0001485066],"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":[0.0002817814,0.0002616621,0.001641255,0.0003909795,0.0001153355,0.0002211852,0.0004898361,0.009187954,0.6539495,0.01336785,0.005882503,0.3142102],"study_design_scores_gemma":[0.00009892453,0.000363506,0.002018541,0.0001292342,0.0000801658,0.0005411643,0.0002160757,0.3361664,0.6150385,0.005829548,0.03937554,0.0001424831],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01320278,0.0002974081,0.9758667,0.0002654535,0.00009304007,0.0004476208,0.0002433456,0.008138241,0.001445386],"genre_scores_gemma":[0.04715429,0.0007737268,0.9474663,0.0001212935,0.00002523057,0.0008822975,0.0003093265,0.0009202738,0.002347235],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004851803,"threshold_uncertainty_score":0.01815748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007230399030200751,"score_gpt":0.2913175202821275,"score_spread":0.2840871212519268,"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."}}