{"id":"W4287631240","doi":"10.5281/zenodo.4000749","title":"Draft template for data extraction","year":2020,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Extraction (chemistry); Data extraction; Computer science; Information retrieval; Chromatography; Political science; MEDLINE; Chemistry; Law","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":[0.01014193,0.001899578,0.001812469,0.007796603,0.001363284,0.004655289,0.002932896,0.00227299,0.2367113],"category_scores_gemma":[0.08167683,0.002350905,0.002804474,0.005897797,0.0007639577,0.003382934,0.004287286,0.003005207,0.1984668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001757944,"about_ca_system_score_gemma":0.009322864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004359376,"about_ca_topic_score_gemma":0.004555766,"domain_scores_codex":[0.9910011,0.002235597,0.003038694,0.0009463553,0.002382975,0.0003953832],"domain_scores_gemma":[0.9133248,0.03533368,0.002526797,0.01632245,0.03108821,0.001404062],"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":[0.000338095,0.0001083921,0.0008594971,0.003350031,0.00009451534,0.0003961607,0.0005870166,0.00089792,0.007082262,0.008383236,0.8332205,0.1446824],"study_design_scores_gemma":[0.0001397309,0.00005240818,0.0008611444,0.0007264773,0.00006831249,0.0002899397,0.0001921565,0.001268583,0.00627233,0.008362086,0.9817113,0.00005564793],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001363733,0.0005955789,0.4610642,0.003132652,0.002292588,0.01327618,0.4460699,0.03279671,0.03940849],"genre_scores_gemma":[0.00508889,0.0007543433,0.5452712,0.002070449,0.0004338464,0.0193429,0.3723992,0.01194174,0.04269753],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2367113,"threshold_uncertainty_score":0.7918782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1330825545238107,"score_gpt":0.2989105927735164,"score_spread":0.1658280382497057,"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."}}