{"id":"W2949631999","doi":"10.1002/chin.200311224","title":"Permanent Magnet Applications","year":2003,"lang":"en","type":"article","venue":"ChemInform","topic":"Magnetic and Electromagnetic Effects","field":"Biochemistry, Genetics and Molecular Biology","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trinity College","funders":"","keywords":"Chemistry; Magnet; Nanotechnology; Mechanical engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.00007562136,0.0001042624,0.00006924091,0.00001538083,0.00005151576,0.00001266024,0.0001077415,0.00008433837,0.0004488543],"category_scores_gemma":[0.00002993974,0.00009980275,0.00004706678,0.00006043597,0.00004522459,0.000001451819,0.00002482071,0.0000497552,0.0001050555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007811011,"about_ca_system_score_gemma":0.00004538315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002255193,"about_ca_topic_score_gemma":0.000002020443,"domain_scores_codex":[0.9994287,8.07384e-7,0.0001104801,0.000166127,0.0000770068,0.0002168092],"domain_scores_gemma":[0.9995609,0.000005548911,0.00002941147,0.0002887629,0.00003105887,0.00008432678],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002728199,0.0001241185,0.0003111834,0.00009716549,0.0000338623,0.000002276217,0.00007438492,0.000001538793,0.6021828,0.009529504,0.1828369,0.204779],"study_design_scores_gemma":[0.00020192,0.0001451974,0.0001439398,0.000001389907,0.000007243412,0.00002887034,0.00002357362,0.000001524129,0.3677472,0.0001249618,0.6314661,0.0001080676],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03040297,0.0008712437,0.0001072969,0.00004924676,0.0000399856,0.0002431869,0.000003634396,0.00001787607,0.9682646],"genre_scores_gemma":[0.9307476,0.0001562665,0.0005571678,0.0004990277,0.0001455554,0.0002224583,0.0001595739,0.00001769697,0.06749465],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9007699,"threshold_uncertainty_score":0.491464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003834695916655495,"score_gpt":0.2150029832430374,"score_spread":0.2111682873263819,"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."}}