{"id":"W4417150889","doi":"10.3390/mi16121392","title":"Predicting Liquid Crystal Behavior with Artificial Neural Networks","year":2025,"lang":"en","type":"article","venue":"Micromachines","topic":"Liquid Crystal Research Advancements","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Artificial neural network; Refractive index; Liquid crystal; Polar; Anchoring; Orientation (vector space); Viscosity","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":[0.0006886517,0.0005829156,0.0003504882,0.0006697323,0.0002429867,0.0006219456,0.0004247662,0.0006562352,0.0009506023],"category_scores_gemma":[0.002121774,0.000322238,0.0004375146,0.0005823847,0.0002250317,0.0005314985,0.0003491897,0.0005657994,0.0002388774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007079894,"about_ca_system_score_gemma":0.0006082063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01022824,"about_ca_topic_score_gemma":0.007862597,"domain_scores_codex":[0.999783,0.00006978503,0.00001834198,0.00004803373,0.00005624137,0.00002455214],"domain_scores_gemma":[0.9989736,0.0006919156,0.0001148187,0.00003775056,0.0001658369,0.00001605114],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004378239,0.00004331942,0.001674172,0.00001982379,0.00002453121,0.00001691168,0.00000752948,0.9725052,0.001393632,0.0003167511,0.000205232,0.02374905],"study_design_scores_gemma":[4.761094e-7,0.000002849941,0.00009162269,8.898008e-7,8.378028e-7,8.425952e-7,6.875382e-7,0.9995815,0.0002145731,0.0000823316,0.0000224599,9.062135e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5345951,0.0009938156,0.4562286,0.0004856206,0.000100392,0.0001012504,0.0004474579,0.001320476,0.005727384],"genre_scores_gemma":[0.9386587,0.0002503213,0.05847324,0.00007023566,0.00002435135,0.00009914673,0.0003761819,0.0000258983,0.002021872],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01022824,"threshold_uncertainty_score":0.0203374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0129745316608457,"score_gpt":0.2928932954485216,"score_spread":0.2799187637876759,"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."}}