{"id":"W1559483088","doi":"10.46430/phen0013","title":"Manipulating Strings in 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); Programming language; Computer science","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":[0.0003342617,0.00006307697,0.00005677275,0.00004029802,0.0001364699,0.00005874868,0.0003762027,0.00001722748,0.000002218681],"category_scores_gemma":[0.000009631819,0.00005247825,0.00002974896,0.0002914374,0.00001656092,0.0002093827,0.0001024756,0.0001023032,0.00004512304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001208467,"about_ca_system_score_gemma":0.00002358358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006077781,"about_ca_topic_score_gemma":0.00001386846,"domain_scores_codex":[0.9993902,0.00002191528,0.0001248349,0.0001166577,0.0001352311,0.0002112007],"domain_scores_gemma":[0.9995168,0.00007258783,0.00005897557,0.0002800839,0.00002135943,0.00005013638],"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":[5.831042e-7,0.00004377385,0.001162891,0.000002728058,0.000002252678,2.979403e-7,0.00268096,0.00009677217,0.0000746293,0.7134438,0.0001159379,0.2823754],"study_design_scores_gemma":[0.000220496,0.00002446313,0.01877333,0.00001746146,0.000006157691,0.00001018388,0.00005476706,0.0161017,0.00007208608,0.06044897,0.9039955,0.0002748703],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02977055,0.0007245865,0.931008,0.003269256,0.001478405,0.0006997676,5.782985e-7,0.0005212586,0.03252761],"genre_scores_gemma":[0.9625253,4.543187e-7,0.03638187,0.00005590365,0.0002558295,0.00003599285,0.000001383392,0.000007100078,0.0007361504],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9327548,"threshold_uncertainty_score":0.2140001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02827235117137446,"score_gpt":0.2650164729763786,"score_spread":0.2367441218050041,"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."}}