{"id":"W4376130975","doi":"10.1021/acs.jpclett.3c00603","title":"Spatially Resolved Optical Spectroscopic Measurements with Simultaneous Photoelectrochemical Mapping Using Scanning Electrochemical Probe Microscopy","year":2023,"lang":"en","type":"article","venue":"The Journal of Physical Chemistry Letters","topic":"Electrochemical Analysis and Applications","field":"Chemistry","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Canada Foundation for Innovation","keywords":"Photocurrent; Materials science; Absorbance; Scanning electrochemical microscopy; Scanning electron microscope; Microscopy; Photoelectrochemistry; Spectroscopy; Nanoscopic scale; Optical microscope; Semiconductor; Band gap; Scanning probe microscopy; Analytical Chemistry (journal); Optics; Optoelectronics; Electrochemistry; Nanotechnology; Chemistry; Physics; Electrode","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004542607,0.0007475291,0.0004156168,0.0009058309,0.0002355696,0.0005035587,0.0006795307,0.0005392946,0.001852571],"category_scores_gemma":[0.0007059452,0.0004747181,0.0002442985,0.0007433783,0.0003922586,0.0007167998,0.0006668177,0.0009122621,0.0004676583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003605454,"about_ca_system_score_gemma":0.000312747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004993589,"about_ca_topic_score_gemma":0.001171529,"domain_scores_codex":[0.9993344,0.00008511543,0.00004673745,0.0001860578,0.0002927081,0.00005498962],"domain_scores_gemma":[0.9995061,0.0001348509,0.00009660234,0.00008188963,0.0001554035,0.0000251118],"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":[0.00002271189,0.00001684841,0.000235195,0.00004061967,0.000005355375,0.00001849864,0.00001934799,0.0001181807,0.9930893,0.0001642328,0.00006261566,0.006207165],"study_design_scores_gemma":[0.000006551826,0.00009222437,0.001528237,0.000005207038,0.00001219406,0.0001208963,0.00003788366,0.009761201,0.9869796,0.0002582787,0.001181402,0.00001622759],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6138769,0.001398602,0.3751026,0.0002901986,0.0001745094,0.0003064082,0.001261067,0.002683362,0.004906249],"genre_scores_gemma":[0.6368152,0.00112573,0.3582353,0.0001340009,0.00005258609,0.0004400387,0.0003116715,0.000116323,0.002769234],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001852571,"threshold_uncertainty_score":0.006197453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01648765088568462,"score_gpt":0.2557547830233792,"score_spread":0.2392671321376946,"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."}}