{"id":"W4253756373","doi":"10.4324/9781003115809-15","title":"Referencing demystified","year":2020,"lang":"en","type":"book-chapter","venue":"","topic":"Genetic and Kidney Cyst Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.004206162,0.001114553,0.0006929811,0.003297551,0.003890193,0.00853099,0.00210239,0.001993403,0.03158077],"category_scores_gemma":[0.01123226,0.000518475,0.000980748,0.002408011,0.009662799,0.01273985,0.006588621,0.008550772,0.01279101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004350525,"about_ca_system_score_gemma":0.003969676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002681724,"about_ca_topic_score_gemma":0.003258799,"domain_scores_codex":[0.9953928,0.001526879,0.0003051926,0.0006442002,0.001860748,0.0002702155],"domain_scores_gemma":[0.9938175,0.002403862,0.000282803,0.001806863,0.001497626,0.000191367],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002293039,0.00001492761,0.0000809731,0.0002005603,0.00000541571,0.0001955702,0.007075364,0.0002649684,0.0007822268,0.8556839,0.04444977,0.09122352],"study_design_scores_gemma":[0.000005111715,0.00001512365,0.00007517968,0.0003790143,0.000007716643,0.0003133657,0.0008857719,0.0003595063,0.001077904,0.106483,0.8903824,0.00001601971],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.004224037,0.01045699,0.125273,0.01112176,0.01008676,0.0001751908,0.0001902022,0.00165035,0.8368218],"genre_scores_gemma":[0.1107048,0.01256817,0.09130259,0.006367394,0.002682599,0.000326763,0.0006275732,0.003100074,0.77232],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9957938,"threshold_uncertainty_score":0.1056482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02012579594134833,"score_gpt":0.2199676226563594,"score_spread":0.199841826715011,"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."}}