{"id":"W4298310059","doi":"","title":"Constructing a true LCSH tree of a science and engineering collection","year":2012,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Information Retrieval and Search Behavior","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Interdisciplinary Research in Music Media and Technology; McGill University","funders":"","keywords":"Tree (set theory); Computer science; Mathematics; Combinatorics","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":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.0008767672,0.000312908,0.0007633643,0.003402056,0.001329051,0.001955922,0.001054417,0.0009956487,0.008516133],"category_scores_gemma":[0.0065114,0.0006570285,0.001230148,0.004791625,0.0009694105,0.004682565,0.001956083,0.001154386,0.002011021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00113282,"about_ca_system_score_gemma":0.001985693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008772596,"about_ca_topic_score_gemma":0.019134,"domain_scores_codex":[0.999254,0.0001290818,0.00005825395,0.0001130361,0.0002865116,0.0001591034],"domain_scores_gemma":[0.9964385,0.00136273,0.0001275962,0.0008250903,0.001036112,0.0002099597],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008978111,0.000379491,0.02947108,0.002475469,0.0001842179,0.001680451,0.004593153,0.04391596,0.05292631,0.2745516,0.08123305,0.5076914],"study_design_scores_gemma":[0.0001170383,0.0003071847,0.01251397,0.0003876503,0.0002408743,0.0009584255,0.00339792,0.3770075,0.02722609,0.4305294,0.1471744,0.0001395945],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2588173,0.0008637629,0.6847543,0.001725687,0.0002276868,0.0007317413,0.01639324,0.007074581,0.02941171],"genre_scores_gemma":[0.3669491,0.0005036309,0.6001801,0.0003283649,0.00007659636,0.0002623662,0.01910109,0.001527118,0.01107164],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9965979,"threshold_uncertainty_score":0.02848929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01175181023870012,"score_gpt":0.2167033725560092,"score_spread":0.204951562317309,"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."}}