{"id":"W4312196111","doi":"10.1002/smll.202206792","title":"Strong Magnetic Field Annealing for Improved Phthalocyanine Organic Thin‐Film Transistors","year":2022,"lang":"en","type":"article","venue":"Small","topic":"Organic Electronics and Photovoltaics","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; University of Ottawa","keywords":"Materials science; Annealing (glass); Thin film; Phthalocyanine; Thin-film transistor; Copper phthalocyanine; Optoelectronics; Magnetic field; Organic semiconductor; Nanotechnology; Transistor; Field-effect transistor; Electrical engineering; Composite material; Physics; Engineering; Voltage","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001466017,0.0001491502,0.0001571023,0.00004963241,0.0001644173,0.00002181973,0.0002131688,0.00005375725,0.001015999],"category_scores_gemma":[0.00001452502,0.0001740327,0.00008188345,0.000160324,0.00000632507,0.00002749737,0.00003244434,0.0003198639,0.00000374825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001285221,"about_ca_system_score_gemma":0.00004784604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004126695,"about_ca_topic_score_gemma":0.0001683175,"domain_scores_codex":[0.9991695,0.00001330798,0.0001835181,0.0001808059,0.00007575515,0.0003770805],"domain_scores_gemma":[0.9996223,0.0000682618,0.00002184379,0.0002051957,0.00002068948,0.00006165824],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006929715,0.00006321881,0.00009531787,0.0002120571,0.0001129212,0.000008767029,0.001278286,0.03101327,0.9565858,0.001057914,0.006000941,0.00350217],"study_design_scores_gemma":[0.001867501,0.002228218,0.00006530917,0.00001272306,0.0001353183,0.00004398345,0.0004363491,0.5312191,0.3582637,0.001200112,0.1036911,0.0008365819],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9719449,0.005184688,0.01586153,0.0005958837,0.001702656,0.0009578089,0.0001807427,0.0006726728,0.002899077],"genre_scores_gemma":[0.9982039,0.00004123956,0.0005268751,0.0001709371,0.0001261487,0.00006632406,0.00004160443,0.00007840658,0.0007445851],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5983222,"threshold_uncertainty_score":0.9998972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00835951846327762,"score_gpt":0.1869761578001022,"score_spread":0.1786166393368246,"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."}}