{"id":"W2974711343","doi":"","title":"LibGuides: MHIKNET: Order Documents","year":2019,"lang":"en","type":"libguides","venue":"","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Library science; Order (exchange); Resource (disambiguation); World Wide Web; Computer science; History; Business","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00133291,0.001943939,0.001116623,0.007148026,0.002061887,0.008347734,0.003145596,0.002240744,0.7237346],"category_scores_gemma":[0.01121172,0.001510859,0.0006730016,0.009454684,0.0008904351,0.008726349,0.005047971,0.001398754,0.7344161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003631365,"about_ca_system_score_gemma":0.003380182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02110694,"about_ca_topic_score_gemma":0.02363071,"domain_scores_codex":[0.9989558,0.0001246944,0.0001062716,0.0001485683,0.0005228707,0.0001417294],"domain_scores_gemma":[0.9951954,0.0009981229,0.0002669755,0.001006267,0.001802271,0.0007308655],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003789509,0.00001557849,0.0000900451,0.0001709207,0.000002609866,0.00002621284,0.00007109417,0.00003905571,0.0001517149,0.002419556,0.9716404,0.02533485],"study_design_scores_gemma":[0.0000147452,0.000004573979,0.0001669679,0.00005512189,0.000001805198,0.00003538495,0.00006241776,0.0001407376,0.0004055122,0.001493172,0.9976063,0.00001319511],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000909071,0.0004675479,0.006498966,0.002104921,0.0004793792,0.0002292863,0.2689918,0.1558322,0.5644869],"genre_scores_gemma":[0.00855622,0.001074895,0.01112361,0.001090304,0.0004164443,0.0003953596,0.3654096,0.08410881,0.5278247],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7237346,"threshold_uncertainty_score":0.394059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01618641726683474,"score_gpt":0.2878600679538781,"score_spread":0.2716736506870434,"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."}}