{"id":"W6931381173","doi":"10.5281/zenodo.4299750","title":"euCanSHare. Deliverable 1.3 - Comparative cross-mapping table detailing which participating cohorts are compliant with euCanSHare requirements","year":2020,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Statistical Methods and Applications","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"European Commission","keywords":"Deliverable; Interoperability; Table (database); Principal (computer security); Corporate governance; Representation (politics); Data collection; Best practice","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":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005708618,0.0002089271,0.0003460444,0.00006633988,0.002568797,0.0008186991,0.0006057429,0.00005051627,0.008578528],"category_scores_gemma":[0.001966944,0.0001996275,0.00003299314,0.0009346996,0.0001299107,0.000270044,0.0005314979,0.0003310828,0.001095538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001149247,"about_ca_system_score_gemma":0.00001019499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001927343,"about_ca_topic_score_gemma":0.000002813298,"domain_scores_codex":[0.9977169,0.0003293585,0.0004457478,0.0005568055,0.0004507833,0.0005003776],"domain_scores_gemma":[0.9975908,0.0002017642,0.0002741537,0.0003644246,0.001225289,0.0003435122],"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":[0.001244081,0.00263237,0.004621239,0.004517077,0.00174526,0.0003525095,0.05830744,0.007384343,0.04147249,0.2269497,0.5916064,0.05916705],"study_design_scores_gemma":[0.003881183,0.001164794,0.008611708,0.001368735,0.0002635815,0.0001616392,0.01330449,0.09226852,0.006052756,0.01154518,0.8595646,0.0018128],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1835841,0.0001012605,0.745109,0.002047906,0.00006669386,0.002331278,0.002048073,0.001827078,0.06288458],"genre_scores_gemma":[0.9554681,0.000007929224,0.04266593,0.0002507904,0.0001070607,0.000001469414,0.0006788664,0.0006946317,0.0001252799],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.771884,"threshold_uncertainty_score":0.9996822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3757121057846883,"score_gpt":0.4009559652018224,"score_spread":0.02524385941713408,"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."}}