{"id":"W1510506686","doi":"10.46430/phen0003","title":"Counting Word Frequencies with Python","year":2012,"lang":"en","type":"article","venue":"The Programming Historian","topic":"Computational Physics and Python Applications","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Python (programming language); Computer science; Programming language","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":[],"consensus_categories":[],"category_scores_codex":[0.0002931304,0.00008390865,0.00006525951,0.00002670105,0.0003329375,0.00011834,0.0004493926,0.00001634178,0.000003089294],"category_scores_gemma":[0.000007344242,0.00005713729,0.00002952657,0.000291179,0.00005630633,0.0002843358,0.0000698919,0.00009763775,0.00006018321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000983982,"about_ca_system_score_gemma":0.00005759169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004382952,"about_ca_topic_score_gemma":0.00001405713,"domain_scores_codex":[0.9992993,0.00001938983,0.0000970223,0.0001326484,0.0002138217,0.0002378496],"domain_scores_gemma":[0.9993253,0.00008444322,0.0000819269,0.0003731768,0.00006937741,0.00006579483],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001561741,0.00004352322,0.0003374746,0.000004097543,0.00001106509,3.942094e-7,0.004148924,0.00005102379,0.0001114196,0.7666978,0.0005436119,0.2280491],"study_design_scores_gemma":[0.00008210036,0.00002282881,0.001132876,0.00000895249,0.00001008575,0.00001314718,0.000044664,0.001531621,0.00005584231,0.01767127,0.9792719,0.0001547111],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006767785,0.0006419898,0.9659233,0.002876872,0.00070678,0.0003777763,7.506317e-7,0.0004992228,0.02220549],"genre_scores_gemma":[0.9042511,8.346638e-7,0.09335395,0.0001219616,0.0004542547,0.00006007196,0.00000231516,0.00001149144,0.001744034],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9787283,"threshold_uncertainty_score":0.256072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01872416092303012,"score_gpt":0.2374679360061361,"score_spread":0.218743775083106,"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."}}