{"id":"W6931259267","doi":"10.5281/zenodo.5043249","title":"pysal/spreg: Release v1.2.3","year":2021,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Immune Response and Inflammation","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Tellabs (Canada)","funders":"","keywords":"Regression analysis; Regression; Linear regression; Python (programming language)","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":[0.001720282,0.002294671,0.001802905,0.001558464,0.0004875919,0.002564739,0.003210425,0.001186193,0.2172217],"category_scores_gemma":[0.008274286,0.002204519,0.002350384,0.001717224,0.0006732444,0.002066539,0.002763124,0.002395197,0.1858602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006267952,"about_ca_system_score_gemma":0.001520256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008303715,"about_ca_topic_score_gemma":0.009364909,"domain_scores_codex":[0.9992431,0.0001510532,0.00007130039,0.0001616024,0.0002418045,0.0001310453],"domain_scores_gemma":[0.9979977,0.001002099,0.0001205823,0.0004510047,0.0003121288,0.000116334],"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":[0.000237886,0.00009374936,0.002440812,0.001012325,0.0003132125,0.000231493,0.0001583217,0.01723134,0.001716309,0.01300207,0.8979716,0.06559094],"study_design_scores_gemma":[0.0006310861,0.00005320888,0.003608392,0.0003547597,0.0001295576,0.0003728735,0.00008046962,0.1637203,0.007864146,0.05722982,0.7657216,0.0002338036],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.001558796,0.0002838317,0.2042294,0.0003655427,0.0001863195,0.00009501841,0.08822944,0.6939575,0.01109414],"genre_scores_gemma":[0.03691609,0.0006678077,0.2003539,0.0007055709,0.0002017489,0.0007536673,0.170361,0.5523232,0.03771703],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.2172217,"threshold_uncertainty_score":0.726679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02129441487630768,"score_gpt":0.2317535915022896,"score_spread":0.2104591766259819,"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."}}