{"id":"W6930913634","doi":"10.5281/zenodo.2652291","title":"Living Lab Data Web App 2018","year":2019,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Animal Genetics and Reproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Open source; Living lab; Web application; Work (physics); Data collection; Quality (philosophy); Code (set theory)","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":[0.00158712,0.001320952,0.001056691,0.002126333,0.000760247,0.003166787,0.002186754,0.001482643,0.5598403],"category_scores_gemma":[0.004939802,0.0008327703,0.000875718,0.001601046,0.0003881718,0.003528373,0.00439029,0.001856092,0.4898691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006917313,"about_ca_system_score_gemma":0.0009977368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005682126,"about_ca_topic_score_gemma":0.01173755,"domain_scores_codex":[0.9993279,0.00007702464,0.0000528383,0.0001302894,0.0003208577,0.00009115937],"domain_scores_gemma":[0.997523,0.0007011355,0.00009794668,0.0005509462,0.00079919,0.000327693],"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":[0.0000880736,0.00002729364,0.0001951108,0.0002598382,0.000008524505,0.00004504266,0.00004720241,0.00004305492,0.000458159,0.0006703684,0.9837098,0.01444743],"study_design_scores_gemma":[0.00005882438,0.00001520773,0.001246858,0.0001217958,0.000008328722,0.0000788012,0.00005413272,0.0003220626,0.001230448,0.001636859,0.9951826,0.00004410665],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.000907878,0.000557001,0.01184261,0.0011205,0.0007316846,0.0004265231,0.7026159,0.1517454,0.1300525],"genre_scores_gemma":[0.007762671,0.0006526854,0.01363739,0.001768851,0.0002984814,0.001291683,0.7122185,0.05045549,0.2119142],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.5598403,"threshold_uncertainty_score":0.6278343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03424943669429941,"score_gpt":0.2529061081170805,"score_spread":0.2186566714227811,"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."}}