{"id":"W2095551521","doi":"10.1007/s003390201693","title":"Neutron scattering from magnetically aligned biomimetic substrates","year":2002,"lang":"en","type":"article","venue":"Applied Physics A","topic":"Nuclear Physics and Applications","field":"Physics and Astronomy","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Atomic Energy (Canada); Canadian Nuclear Laboratories","funders":"","keywords":"Differential scanning calorimetry; Neutron scattering; Phase transition; Small-angle neutron scattering; Micelle; Scattering; Phase (matter); Materials science; Liquid crystal; Lanthanide; Neutron; Substrate (aquarium); Chemistry; Ion; Analytical Chemistry (journal); Crystallography; Optics; Condensed matter physics; Thermodynamics; Physical chemistry; Chromatography; Organic chemistry; Physics; Optoelectronics","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00002588032,0.0002298935,0.0002171272,0.00001948254,0.0001626367,0.000121986,0.0002649955,0.00003226007,0.001747326],"category_scores_gemma":[2.32203e-7,0.0002408684,0.0001081242,0.0002279878,0.00009121664,0.00007178266,0.00008084492,0.0001050893,0.001818895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001133981,"about_ca_system_score_gemma":0.000007723738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001414117,"about_ca_topic_score_gemma":6.511073e-7,"domain_scores_codex":[0.9988915,0.00001033171,0.0002149813,0.0004002256,0.0001506165,0.000332397],"domain_scores_gemma":[0.9992351,0.00005502584,0.00008873022,0.0004771653,0.00002798511,0.0001159864],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000004425693,0.0003707281,0.0004541987,0.000004262401,0.00007709469,3.571718e-7,0.000201221,0.000103544,0.4942895,0.4523231,0.001577895,0.05059369],"study_design_scores_gemma":[0.00249308,0.00009684397,0.01478284,0.00004002328,0.0002960526,4.21612e-7,0.0004536819,0.01614779,0.1990995,0.744634,0.02007499,0.001880833],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8878458,0.00002854061,0.002365187,0.0002964784,0.00006393399,0.0003252406,0.0001067933,0.0001070652,0.1088609],"genre_scores_gemma":[0.9975372,0.00000250578,0.001166201,0.0001374835,0.0007248989,0.000107841,0.0001043514,0.00005262962,0.0001668969],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.29519,"threshold_uncertainty_score":0.9991652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01267690531670065,"score_gpt":0.2055027510963416,"score_spread":0.192825845779641,"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."}}