{"id":"W4391614170","doi":"10.1002/adom.202302651","title":"Polarization‐Sensitive and Self‐Driven Pyro‐Phototronic Photodetectors Based on MoS<sub>2</sub>‐Water Heterojunctions","year":2024,"lang":"en","type":"article","venue":"Advanced Optical Materials","topic":"2D Materials and Applications","field":"Materials Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Western Economic Diversification Canada; British Columbia Knowledge Development Fund; CMC Microsystems; Natural Sciences and Engineering Research Council of Canada; Simon Fraser University; Canada Foundation for Innovation","keywords":"Photodetector; Materials science; Optoelectronics; Responsivity; Heterojunction; Specific detectivity; Polarization (electrochemistry); Electric field; Optics; Physics","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002994979,0.0003626563,0.0004103193,0.0001404703,0.0002970223,0.000548035,0.0001607717,0.0001623781,0.0004825804],"category_scores_gemma":[0.00006211736,0.0002767756,0.00007076257,0.0001673012,0.0001761361,0.0003610106,0.0001180379,0.0001140929,0.001098009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000118542,"about_ca_system_score_gemma":0.00005772478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001406802,"about_ca_topic_score_gemma":0.000005414238,"domain_scores_codex":[0.9977265,0.0001234918,0.0004965893,0.0007881752,0.0002814723,0.00058378],"domain_scores_gemma":[0.9990354,0.0001904779,0.00006356339,0.0004280265,0.00008738485,0.0001951227],"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":[0.00008381076,0.0001035166,0.000001392964,0.00009318392,0.00001504906,0.000014537,0.00006840983,0.0007626492,0.9950909,0.003492117,0.00003362171,0.0002407877],"study_design_scores_gemma":[0.0003804301,0.0002190113,0.0001897397,0.0001194924,0.00006653304,0.0000156987,0.00001548886,0.0009564544,0.99512,0.001086427,0.001467636,0.0003631046],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928963,0.00003027972,0.003350919,0.0004698531,0.001316393,0.0007127821,0.0003583267,0.0006654053,0.0001996956],"genre_scores_gemma":[0.9948735,0.00004769408,0.003949402,0.0003667652,0.0002106154,0.0003170085,0.0001139838,0.0000805897,0.00004049038],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00240569,"threshold_uncertainty_score":0.9999685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005558935157030731,"score_gpt":0.227146566753394,"score_spread":0.2215876315963632,"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."}}