{"id":"W6968771406","doi":"10.5281/zenodo.7428659","title":"astropy/astropy: v5.2","year":2022,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Work (physics); Identification (biology); Process (computing)","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":[0.001288579,0.001650527,0.001263606,0.003025244,0.001835133,0.005650692,0.00311139,0.002214238,0.8003121],"category_scores_gemma":[0.00671345,0.001539767,0.001254635,0.003294846,0.0007659168,0.004868766,0.005596266,0.002785345,0.8355194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001517741,"about_ca_system_score_gemma":0.001145699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01025793,"about_ca_topic_score_gemma":0.01185284,"domain_scores_codex":[0.9990444,0.00009434571,0.0000432569,0.0001603739,0.0004689542,0.0001886429],"domain_scores_gemma":[0.9964756,0.0004885073,0.0001465459,0.001197191,0.0009446765,0.0007473581],"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":[0.00002609056,0.000005949987,0.00007319584,0.00005639234,0.000002850036,0.000009039501,0.00001598986,0.00004639694,0.00007731499,0.0006902057,0.9925835,0.006413075],"study_design_scores_gemma":[0.00002897924,0.000004847529,0.0002930054,0.00002308978,0.00000237278,0.00002054891,0.0000108451,0.000177525,0.0002665268,0.001514641,0.9976398,0.00001780809],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.0004425923,0.0002808764,0.01354168,0.001697085,0.001480807,0.0001652658,0.2246322,0.3858452,0.3719142],"genre_scores_gemma":[0.007228251,0.000336471,0.01157767,0.002190069,0.0007398873,0.0003504818,0.2413697,0.4159058,0.3203018],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.8003121,"threshold_uncertainty_score":0.2848306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02771141041459441,"score_gpt":0.2405981084980963,"score_spread":0.2128866980835019,"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."}}