{"id":"W6931603639","doi":"10.5281/zenodo.7117574","title":"dfm/emcee: emcee v3.1.3rc1","year":2022,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Geomagnetism and Paleomagnetism Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Perimeter Institute","funders":"","keywords":"Python (programming language); Sampling (signal processing); Markov chain Monte Carlo; Bayesian probability","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":[0.002751817,0.00251077,0.002276704,0.001474236,0.001099018,0.002559676,0.005766769,0.002014142,0.1637807],"category_scores_gemma":[0.009528316,0.001765883,0.002288421,0.001706192,0.0007820089,0.002205002,0.003056382,0.003991379,0.1196752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001330175,"about_ca_system_score_gemma":0.002466891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01099979,"about_ca_topic_score_gemma":0.01804715,"domain_scores_codex":[0.9988775,0.0003102789,0.00007495842,0.0002224111,0.0003558475,0.0001590737],"domain_scores_gemma":[0.9982129,0.0007381422,0.00008858286,0.0004184695,0.0003849938,0.000156999],"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":[0.0002064758,0.00008977144,0.001165066,0.001072031,0.0003045975,0.000166699,0.0001780702,0.03281698,0.002002499,0.02433751,0.8806468,0.05701356],"study_design_scores_gemma":[0.0005523022,0.00003843291,0.00110232,0.0002427946,0.00008878741,0.0002224518,0.00004261388,0.3012946,0.007568153,0.06790146,0.6207383,0.0002077802],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.002194216,0.0006699485,0.3932428,0.0006070603,0.0004481871,0.0002375638,0.09142876,0.4861369,0.0250345],"genre_scores_gemma":[0.03641072,0.0007994694,0.3435739,0.001375629,0.0002668144,0.001904597,0.142963,0.4396483,0.03305761],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.8362193,"threshold_uncertainty_score":0.5479009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01597175395280985,"score_gpt":0.2244932161683872,"score_spread":0.2085214622155774,"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."}}