{"id":"W6893774837","doi":"10.5281/zenodo.3462677","title":"ropensci/eph V1.0.0","year":2023,"lang":"en","type":"other","venue":"Open Repository and Bibliography (University of Luxembourg)","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Documentation; Coding (social sciences); Process (computing); Redundancy (engineering)","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":["metaepi_narrow","bibliometrics","insufficient_payload"],"consensus_categories":["bibliometrics"],"category_scores_codex":[0.0005209972,0.000528637,0.001017176,0.03299242,0.0005534185,0.0003480445,0.001929963,0.0006007802,0.001608633],"category_scores_gemma":[0.00000141632,0.0006220342,0.0005041294,0.02475424,0.0008675822,0.0006835241,0.001423065,0.0004041006,0.0007640413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000208058,"about_ca_system_score_gemma":0.00009513018,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01830809,"about_ca_topic_score_gemma":0.001664777,"domain_scores_codex":[0.9973086,0.000281684,0.0002621356,0.001036387,0.0006138309,0.0004973547],"domain_scores_gemma":[0.9975633,0.00009159273,0.0008554568,0.0009694525,0.0001480727,0.0003721283],"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":[0.0001654683,0.0001433926,0.03252194,0.0002011784,0.0009186146,0.0005889837,0.00009723964,6.738871e-7,0.0004222513,0.0002774803,0.9642757,0.000387129],"study_design_scores_gemma":[0.001541493,0.0001884769,0.028962,0.0009313334,0.0006116933,0.00006533497,0.001213348,0.000005376478,0.00006909756,0.0001120377,0.9653602,0.0009395601],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001150157,0.002021668,0.00003223868,0.0000471554,0.0005329998,0.001314233,0.000501094,0.000952754,0.9934477],"genre_scores_gemma":[0.01080181,0.009021205,0.001581762,0.00003160377,0.0002910609,0.000004564423,0.00007501827,0.001730318,0.9764627],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01698504,"threshold_uncertainty_score":0.9996231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0189896704770223,"score_gpt":0.2325182846776244,"score_spread":0.2135286142006021,"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."}}