{"id":"W4238080463","doi":"10.1090/crmm/010/04","title":"Line bundles","year":2016,"lang":"en","type":"book-chapter","venue":"CRM monograph series","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science","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":[0.0002434082,0.0008542097,0.0004510442,0.002231001,0.001124487,0.00330906,0.0006647596,0.0004831439,0.1290689],"category_scores_gemma":[0.00053499,0.0003125187,0.0002192758,0.00245195,0.0009551998,0.003425473,0.001170733,0.001660931,0.06645935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001248207,"about_ca_system_score_gemma":0.0006942265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001336952,"about_ca_topic_score_gemma":0.00191825,"domain_scores_codex":[0.9997351,0.0000383388,0.00001042683,0.00004969269,0.0001383629,0.00002819962],"domain_scores_gemma":[0.9998306,0.00001801791,0.00001548066,0.00003033103,0.00006861773,0.00003681315],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001493694,0.00002127547,0.00007496334,0.00007941746,0.000004410001,0.00002579823,0.0001920486,0.0001870945,0.0005445591,0.6238676,0.2697414,0.1052464],"study_design_scores_gemma":[0.000004587506,0.000007663483,0.0001721391,0.00004197743,0.000003850598,0.0000681348,0.00007930806,0.0002345783,0.0003035811,0.1585781,0.8405001,0.000005940898],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.001676207,0.002406766,0.007634967,0.00099825,0.0007357073,0.00001362204,0.0005450388,0.000405392,0.9855839],"genre_scores_gemma":[0.02135547,0.003210533,0.002772442,0.0002001347,0.0006978076,0.00002577329,0.0009176953,0.0004754219,0.9703446],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.1290689,"threshold_uncertainty_score":0.4317786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02585168702230343,"score_gpt":0.2372630015611293,"score_spread":0.2114113145388259,"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."}}