{"id":"W6969057129","doi":"10.5281/zenodo.7885796","title":"gwastro/pycbc: v2.1.2 release of PyCBC","year":2023,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Privacy Analytics (Canada); University of British Columbia; Semtech (Canada)","funders":"","keywords":"Container (type theory); Production line; Production (economics); Virtual machine; Control (management)","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":[],"consensus_categories":[],"category_scores_codex":[0.00562122,0.003344944,0.002937318,0.00327187,0.002389068,0.006089346,0.006609204,0.002349144,0.2657316],"category_scores_gemma":[0.01433016,0.003538364,0.002954645,0.002759872,0.0009449814,0.004720721,0.005859706,0.005877142,0.3574877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001866995,"about_ca_system_score_gemma":0.003815481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007726909,"about_ca_topic_score_gemma":0.004648151,"domain_scores_codex":[0.9967228,0.0004557403,0.0002156622,0.000800081,0.001318506,0.0004872094],"domain_scores_gemma":[0.9950055,0.0009730426,0.0003750329,0.001902053,0.00108437,0.0006600124],"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":[0.000358251,0.0000406953,0.00108446,0.0004346395,0.00009720061,0.000134338,0.0001119046,0.0004502862,0.003900409,0.002724589,0.9701505,0.0205127],"study_design_scores_gemma":[0.0002159191,0.00003883129,0.001909566,0.0001490118,0.00006614704,0.0003050606,0.00003467918,0.002107217,0.009542226,0.004936767,0.9805032,0.0001913785],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.002246202,0.0005993037,0.06178924,0.001158232,0.001300011,0.0002166264,0.2197946,0.6780263,0.03486954],"genre_scores_gemma":[0.008181401,0.0004115982,0.03400651,0.001314213,0.0002634423,0.0006426909,0.2759122,0.653303,0.02596505],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.2657316,"threshold_uncertainty_score":0.8889607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03448755643399651,"score_gpt":0.2528001086631818,"score_spread":0.2183125522291852,"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."}}