{"id":"W2160943556","doi":"10.1039/b813897d","title":"Patterning protein concentration using laser-assisted adsorption by photobleaching, LAPAP","year":2008,"lang":"en","type":"article","venue":"Lab on a Chip","topic":"Axon Guidance and Neuronal Signaling","field":"Neuroscience","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital; Université de Montréal; Hôpital Maisonneuve-Rosemont","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Photobleaching; Substrate (aquarium); Biophysics; In vitro; Chemistry; In vivo; Fluorescence recovery after photobleaching; Nanotechnology; Biological system; Materials science; Biology; Biochemistry; Fluorescence; Physics; Optics","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0001154437,0.000167683,0.0001442331,0.00003209054,0.0004104158,0.00005679857,0.0001469741,0.00006634476,0.0001105031],"category_scores_gemma":[0.0001442175,0.0001611503,0.00005502588,0.0001824982,0.00006086411,0.0002282815,0.00002487614,0.0002788694,0.00007780543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006648722,"about_ca_system_score_gemma":0.00003675133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008184421,"about_ca_topic_score_gemma":0.000004229527,"domain_scores_codex":[0.9984478,0.0002222556,0.0002394496,0.0004187984,0.0003686312,0.0003030355],"domain_scores_gemma":[0.9994827,0.0000769412,0.0001724845,0.0001673763,0.00001780982,0.00008271749],"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":[0.00007299069,0.00008815159,0.0007514342,0.00001013757,0.000001594045,0.0000338842,0.0001656655,0.0001441897,0.9978395,0.0001047124,0.0002516237,0.0005361452],"study_design_scores_gemma":[0.0005719595,0.0001396501,0.0006520731,0.0001044104,0.000004436909,0.00004501017,0.00001055677,0.004663992,0.992255,0.00005900419,0.001304668,0.0001892933],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973037,0.00002021652,0.0006293483,0.0001199031,0.000111639,0.0003373925,0.00001603057,0.0001403016,0.001321423],"genre_scores_gemma":[0.9968336,0.00001270269,0.0001138885,0.002311875,0.00009747125,0.00002182268,0.000009224839,0.0000275995,0.0005717921],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005584525,"threshold_uncertainty_score":0.6571519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06921729470846583,"score_gpt":0.2751550769185537,"score_spread":0.2059377822100879,"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."}}