{"id":"W2074585126","doi":"10.1155/2014/524042","title":"Biomimetic-Inspired Infrared Sensors from <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" id=\"M1\"><mml:mrow><mml:msub><mml:mrow><mml:mtext>Zn</mml:mtext></mml:mrow><mml:mtext>3</mml:mtext></mml:msub><mml:msub><mml:mtext>P</mml:mtext><mml:mtext>2</mml:mtext></mml:msub></mml:mrow></mml:math> Microwires: Study of Their Photoconductivity and Infrared Spectrum Properties","year":2014,"lang":"en","type":"article","venue":"New Journal of Science","topic":"Insect and Arachnid Ecology and Behavior","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Western Hospital; University of Toronto","funders":"Universitat de València; Generalitat Valenciana","keywords":"Infrared; Materials science; Analytical Chemistry (journal); Chemistry; Physics; Optics","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":[0.00005683247,0.0002332028,0.0001535311,0.0001496799,0.0001008788,0.0003184905,0.0003071399,0.0002757769,0.003260643],"category_scores_gemma":[0.0001212641,0.0002345429,0.0001902351,0.0001699084,0.0001197768,0.0003219006,0.0002605916,0.0005403821,0.001390451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002260969,"about_ca_system_score_gemma":0.00008678238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002577315,"about_ca_topic_score_gemma":0.0005725433,"domain_scores_codex":[0.9999542,0.000002364286,0.000002648368,0.000009105236,0.00002567862,0.000006059845],"domain_scores_gemma":[0.9999723,0.000004844742,0.000006892146,0.000004203472,0.00000719319,0.000004541848],"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":[0.00001437264,0.000009481487,0.00003507978,0.00005630143,0.000002182387,0.00002745027,0.000009430275,0.0001676675,0.994343,0.0004753857,0.0004031581,0.004456448],"study_design_scores_gemma":[0.000005579666,0.00003556536,0.0005274653,0.00000530531,0.00000382149,0.00005739245,0.00000553483,0.001414643,0.9875381,0.0001422602,0.01025976,0.000004574924],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8155885,0.004036408,0.1321775,0.0008897832,0.0003682529,0.0001383813,0.002196033,0.002872453,0.04173268],"genre_scores_gemma":[0.8639952,0.003117673,0.08588809,0.0002963016,0.00004756763,0.0001573103,0.00329796,0.0005280849,0.04267183],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003260643,"threshold_uncertainty_score":0.01090795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01945431354237999,"score_gpt":0.2426736928533962,"score_spread":0.2232193793110162,"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."}}