{"id":"W2005147770","doi":"10.1117/12.841997","title":"Density amplification in laser-assisted protein adsorption by photobleaching","year":2010,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Axon Guidance and Neuronal Signaling","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Photobleaching; Morphogen; Chemotaxis; Fluorescence recovery after photobleaching; Biological system; In vivo; Laser; Biophysics; Cell biology; Computer science; Biology; Optics; Physics; Fluorescence; Biochemistry","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":[0.0002903659,0.0003953111,0.0002266141,0.0002419259,0.0001866674,0.0003469407,0.0006910155,0.0005979933,0.002015799],"category_scores_gemma":[0.0004048258,0.0003937176,0.0001825674,0.0002481035,0.0005166501,0.0004719808,0.0005145911,0.0008137233,0.0008499221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006988498,"about_ca_system_score_gemma":0.0001878599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009960885,"about_ca_topic_score_gemma":0.001207626,"domain_scores_codex":[0.9996498,0.00004422292,0.00001321945,0.00009491292,0.0001574882,0.00004032918],"domain_scores_gemma":[0.9998181,0.00009680887,0.00002821429,0.00002556095,0.00002111527,0.00001013146],"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":[0.00002681061,0.00001654742,0.00005531071,0.00005216172,0.000002168273,0.00002937067,0.00002925042,0.0002883927,0.9953784,0.0007646928,0.00008973482,0.00326714],"study_design_scores_gemma":[0.00001009233,0.00005184141,0.000362787,0.000005856152,0.000002556286,0.0001104039,0.00001184424,0.007150091,0.9890925,0.0002595794,0.002934074,0.000008225094],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6378936,0.002940247,0.3436815,0.0006705495,0.000158026,0.0002581291,0.0002155909,0.001234497,0.01294794],"genre_scores_gemma":[0.8792182,0.001649097,0.1002707,0.0001497467,0.00001992552,0.0003058453,0.0001805842,0.0001116116,0.01809438],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002015799,"threshold_uncertainty_score":0.006743491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01721148509875074,"score_gpt":0.2396560373043664,"score_spread":0.2224445522056157,"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."}}