{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.05087567,0.0006841798,0.001606844,0.007852099,0.005847499,0.02646023,0.004275559,0.008739516,0.05212753],"category_scores_gemma":[0.1812221,0.001333518,0.002026215,0.008423147,0.02178195,0.05196935,0.02677203,0.013477,0.01684833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004761844,"about_ca_system_score_gemma":0.01502212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002859812,"about_ca_topic_score_gemma":0.001584372,"domain_scores_codex":[0.9710335,0.01172528,0.004671081,0.003043107,0.008112672,0.001414333],"domain_scores_gemma":[0.7047397,0.133829,0.01270321,0.1154328,0.01883847,0.01445677],"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":[0.0001079604,0.00004000494,0.001077668,0.0002912338,0.00002888535,0.0001575721,0.0009793562,0.0003751976,0.0004186963,0.8398638,0.1172796,0.03937994],"study_design_scores_gemma":[0.00002989559,0.00002270921,0.0005107655,0.0007285949,0.00002791299,0.0002348167,0.0008376101,0.001559367,0.0006752387,0.4869336,0.5083947,0.00004487269],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01186172,0.007839553,0.2318146,0.5086716,0.02330095,0.0005689515,0.01258601,0.007461274,0.1958954],"genre_scores_gemma":[0.5063424,0.01402352,0.1916619,0.1085456,0.0247051,0.002341924,0.01706238,0.007893749,0.1274234],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9957244,"threshold_uncertainty_score":0.2690594,"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."}}