{"id":"W4394023732","doi":"10.5281/zenodo.3950116","title":"The Many Faces of CI - Reproduction Package","year":2020,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Multimedia Communication and Technology","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Reproduction; R package; Computer science; Biology; Programming language; Ecology","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":[0.002592117,0.002757266,0.001591198,0.004882722,0.001347625,0.003747853,0.003807219,0.002996523,0.09248134],"category_scores_gemma":[0.01514512,0.0009214947,0.002874922,0.006968579,0.0007653827,0.002114198,0.003565381,0.003436808,0.1275374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00157167,"about_ca_system_score_gemma":0.002650041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02320906,"about_ca_topic_score_gemma":0.047128,"domain_scores_codex":[0.99698,0.0006378319,0.0003232079,0.0008086179,0.0007053399,0.0005449628],"domain_scores_gemma":[0.9920854,0.002467731,0.000604913,0.00272645,0.001365541,0.0007500342],"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":[0.00005834899,0.00002458378,0.00095742,0.0004950633,0.00003606868,0.00001523106,0.00002193691,0.0002568965,0.00005152523,0.0005223083,0.9954565,0.002104084],"study_design_scores_gemma":[0.000347219,0.0000404813,0.005941849,0.0005325886,0.00005812448,0.0001141708,0.0001674723,0.0009422019,0.0003425927,0.002861585,0.9885989,0.00005264181],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002114203,0.00009831478,0.0001930617,0.000152233,0.00008135679,0.00002578003,0.9976908,0.0006369261,0.0009101502],"genre_scores_gemma":[0.000513636,0.00005532521,0.0005215202,0.0001109029,0.00001951309,0.0001274777,0.9979731,0.0001340279,0.0005444283],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09248134,"threshold_uncertainty_score":0.3093809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06005509694663862,"score_gpt":0.3082854806005167,"score_spread":0.2482303836538781,"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."}}