{"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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005618043,0.00009197037,0.000109557,0.00009595895,0.001296388,0.001240394,0.003139193,0.00003447355,0.00102902],"category_scores_gemma":[0.0007368287,0.0000958863,0.00003632839,0.0005773049,0.00004099235,0.001000589,0.002445427,0.0001383725,0.003523387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002801714,"about_ca_system_score_gemma":0.000004108057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009308043,"about_ca_topic_score_gemma":1.326469e-7,"domain_scores_codex":[0.9986212,0.0001253609,0.0001871712,0.0005817662,0.0002446717,0.0002398866],"domain_scores_gemma":[0.9985564,0.00003378716,0.00008832275,0.0009205638,0.0002288584,0.0001720855],"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":[0.000024331,0.00005754622,0.000002035284,0.00004576511,0.00005260122,0.000009523055,0.0009119898,0.00007187973,0.00591344,0.005193158,0.6921683,0.2955495],"study_design_scores_gemma":[0.0002218777,0.0001036986,0.00004082789,0.000007692348,0.00001209435,0.00002239872,0.00007504287,0.09941919,0.0003196966,0.00007580795,0.899594,0.0001076332],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.000697554,0.00004025222,0.9804304,0.006867923,0.00007578227,0.0001968227,0.0003853277,0.001001312,0.01030463],"genre_scores_gemma":[0.893669,0.0001433769,0.08290605,0.002188158,0.0009506806,1.091494e-7,0.01695145,0.001803915,0.001387257],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8975244,"threshold_uncertainty_score":0.9998842,"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."}}