{"id":"W6948887225","doi":"10.5281/zenodo.1187521","title":"jgm/pandoc: pandoc 2.1.2","year":2018,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Research Data Management Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Parsing; Closing (real estate); Syntax; Bottom-up parsing; Prefix; Annotation; Extension (predicate logic); Space (punctuation)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001621115,0.00382325,0.001318728,0.001826813,0.001390545,0.005132582,0.003999634,0.002835097,0.3199575],"category_scores_gemma":[0.009008361,0.003032169,0.002359271,0.00133783,0.001015228,0.007344547,0.004241027,0.003452451,0.3242593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001939857,"about_ca_system_score_gemma":0.002111613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004950395,"about_ca_topic_score_gemma":0.004346361,"domain_scores_codex":[0.9988511,0.0001052266,0.0001036155,0.0003228502,0.0004203619,0.0001969201],"domain_scores_gemma":[0.9966036,0.00070149,0.0002657431,0.00110151,0.001096144,0.000231563],"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":[0.0004137575,0.00006898562,0.001259769,0.0007214435,0.00005634558,0.0001923155,0.0002805974,0.0003358416,0.00491333,0.007315603,0.9344195,0.05002258],"study_design_scores_gemma":[0.0001118571,0.00004030484,0.00117552,0.000219757,0.00004454477,0.0003006567,0.00008676454,0.001595912,0.01793585,0.00510517,0.9732482,0.0001354539],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.001369521,0.0002542158,0.04950013,0.000413777,0.0007374177,0.0001282404,0.02051903,0.9028275,0.02425006],"genre_scores_gemma":[0.01166826,0.0002776743,0.03590546,0.001053831,0.0001709058,0.0003247424,0.03504163,0.8675389,0.0480185],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.3199575,"threshold_uncertainty_score":0.9699981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07403528881884079,"score_gpt":0.300079118757381,"score_spread":0.2260438299385402,"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."}}