{"id":"W1502582543","doi":"10.46430/phen0021","title":"Downloading Web Pages with Python","year":2012,"lang":"en","type":"article","venue":"The Programming Historian","topic":"Computational Physics and Python Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Python (programming language); Upload; Download; World Wide Web; Computer science; Web page; Operating system","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":[0.0013013,0.001545599,0.0009320013,0.002183834,0.001275545,0.003940751,0.002248588,0.001233791,0.4061424],"category_scores_gemma":[0.01055194,0.001047618,0.001276148,0.002679233,0.0007754091,0.008096054,0.004984786,0.003866196,0.4048672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005884195,"about_ca_system_score_gemma":0.001904534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001185812,"about_ca_topic_score_gemma":0.00168667,"domain_scores_codex":[0.9986304,0.0001686032,0.0001087923,0.0001578863,0.0007708001,0.0001635257],"domain_scores_gemma":[0.9957998,0.0009231911,0.0002316571,0.001088053,0.001221337,0.0007358643],"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":[0.00004717664,0.0000945937,0.00020886,0.0002352943,0.000006635088,0.0001027279,0.000206276,0.0002382826,0.001172265,0.007543434,0.8477321,0.1424123],"study_design_scores_gemma":[0.00001798309,0.00001928338,0.0003757233,0.0001360817,0.000004706171,0.0001708795,0.0000916323,0.0004536905,0.001547811,0.01087672,0.9862726,0.00003283243],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.002147745,0.001034025,0.2094031,0.004595854,0.002934391,0.001011256,0.01909709,0.2729546,0.4868219],"genre_scores_gemma":[0.01920112,0.002897591,0.1855748,0.005289535,0.001524991,0.001546222,0.0347502,0.1351486,0.614067],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.4061424,"threshold_uncertainty_score":0.8470658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01837625479639498,"score_gpt":0.2360542548145397,"score_spread":0.2176780000181447,"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."}}