{"id":"W2743149664","doi":"10.2139/ssrn.3008736","title":"A Data Commons for Food Security","year":2017,"lang":"pl","type":"article","venue":"SSRN Electronic Journal","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Food security; Business; Commons; Computer security; Internet privacy; Computer science; Political science; Law; Biology; Agriculture; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts","scholarly_communication","open_science","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.03577309,0.0003206678,0.0005613132,0.0001983488,0.003854363,0.004061112,0.01350523,0.0001647117,0.00016808],"category_scores_gemma":[0.005663245,0.0002678544,0.0002877991,0.000144571,0.000352188,0.002851574,0.003374819,0.002424238,0.0003306394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004841512,"about_ca_system_score_gemma":0.003743051,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001758087,"about_ca_topic_score_gemma":0.0650464,"domain_scores_codex":[0.9923046,0.000422125,0.001046794,0.0009137236,0.001398693,0.003914075],"domain_scores_gemma":[0.9916484,0.0007325452,0.00150046,0.005536151,0.0003020924,0.000280373],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002160083,0.0003015109,0.0003543349,0.00002232336,0.0006099397,0.000005238243,0.0003006296,0.000002096211,0.000002888286,0.7628312,0.07661711,0.1587367],"study_design_scores_gemma":[0.001063725,0.0007650172,0.0002143293,0.0000309907,0.0001349903,0.00007326053,0.002943775,0.0008714253,0.000004102635,0.5607557,0.4329286,0.0002140145],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07302607,0.03127118,0.6477969,0.1672101,0.01466535,0.004186864,0.03142197,0.0001496105,0.03027191],"genre_scores_gemma":[0.9839017,0.005872804,0.0003261083,0.0004427673,0.00111431,0.00001078755,0.0001533357,0.00003185689,0.008146276],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9108757,"threshold_uncertainty_score":0.9999774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2372694087180765,"score_gpt":0.4438698630076333,"score_spread":0.2066004542895568,"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."}}