{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002246127,0.0005601227,0.0002780495,0.0005730491,0.0004900925,0.0007516276,0.0006968019,0.0009402282,0.03425067],"category_scores_gemma":[0.0004026468,0.0001603264,0.000296039,0.0004045428,0.0002462484,0.0008579461,0.000745648,0.0008071151,0.01327618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003419471,"about_ca_system_score_gemma":0.0002034855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002558327,"about_ca_topic_score_gemma":0.0003592996,"domain_scores_codex":[0.9998054,0.00002071606,0.000007473594,0.00004152312,0.00008974742,0.00003510785],"domain_scores_gemma":[0.999824,0.00002860214,0.00001658879,0.00002897754,0.00007679473,0.00002512434],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003366053,0.0001564517,0.0005361874,0.002296187,0.00004498948,0.0006511655,0.0001360604,0.001746242,0.2510514,0.04087991,0.1848385,0.5173264],"study_design_scores_gemma":[0.00003734256,0.0003118251,0.0008890581,0.0001574202,0.00004400486,0.001529674,0.00007075784,0.003258941,0.1158289,0.007220184,0.8706271,0.00002472014],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05861134,0.07031889,0.1417737,0.01125007,0.01045336,0.0003148838,0.001729809,0.006299643,0.6992483],"genre_scores_gemma":[0.607339,0.02448083,0.03500836,0.002737196,0.002226231,0.0002309087,0.001523424,0.0004817865,0.3259721],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03425067,"threshold_uncertainty_score":0.1145799,"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."}}