{"id":"W6949638865","doi":"10.5281/zenodo.2578959","title":"PARTHENOS D4.3 Standardization Survival Kit – Final","year":2018,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Data Analysis with R","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Prairie Improvement Network","funders":"","keywords":"Standardization; Deliverable; Work (physics); Key (lock)","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":[0.01565363,0.00176962,0.0009298261,0.003015021,0.0009223322,0.006626125,0.002813763,0.002080934,0.1035011],"category_scores_gemma":[0.02321513,0.001730894,0.00136134,0.002249808,0.001063442,0.003752054,0.004672408,0.00319432,0.1732702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001870582,"about_ca_system_score_gemma":0.005929526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00436306,"about_ca_topic_score_gemma":0.00238307,"domain_scores_codex":[0.991017,0.002585801,0.0007816013,0.0009680603,0.004026955,0.0006205355],"domain_scores_gemma":[0.9852334,0.002436223,0.0007412625,0.005364974,0.005595087,0.0006292118],"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":[0.000573925,0.0001355824,0.001056402,0.001348264,0.00007214078,0.0002075778,0.0009432912,0.002182656,0.00958643,0.06680857,0.7275599,0.1895253],"study_design_scores_gemma":[0.00004778661,0.00005409373,0.0005736231,0.0002021028,0.00001801812,0.0001093369,0.00007441961,0.000682323,0.004559893,0.008595891,0.9850456,0.00003693758],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.006014939,0.001731849,0.4759857,0.003744397,0.002130758,0.002132537,0.09220623,0.1686523,0.2474014],"genre_scores_gemma":[0.02586483,0.002130409,0.309929,0.001757373,0.0005494207,0.005216225,0.2612616,0.1496641,0.243627],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.1035011,"threshold_uncertainty_score":0.3462458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05530200095089965,"score_gpt":0.2679756977107483,"score_spread":0.2126736967598487,"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."}}