{"id":"W2981272937","doi":"10.1787/6287ddb2-en","title":"Innovation policies for sustainable development","year":2019,"lang":"en","type":"paratext","venue":"OECD science, technology and industry policy papers","topic":"Sustainable Development and Environmental Policy","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Council for Science and Technology Policy; LG Display","keywords":"European commission; Sustainability; European union; Portfolio; Business; Sustainable development; Resource (disambiguation); Commission; Natural resource; Economic growth; Regional science; Political science; International trade; Geography; Economics; Finance","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003329299,0.0008782927,0.0005032598,0.002027127,0.002865158,0.009799434,0.0005584613,0.004759654,0.02742296],"category_scores_gemma":[0.005587116,0.0002086665,0.000442284,0.002890271,0.004646248,0.007039826,0.004050541,0.004314783,0.007731996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01034533,"about_ca_system_score_gemma":0.0166239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007066422,"about_ca_topic_score_gemma":0.006798456,"domain_scores_codex":[0.9966522,0.0009950417,0.0001433103,0.0003469663,0.001324208,0.0005382459],"domain_scores_gemma":[0.998317,0.0006373881,0.0001449841,0.0001921628,0.0005055786,0.0002029335],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004351968,0.000008518676,0.00003996012,0.0001176646,0.00000295547,0.0000131114,0.0001808761,0.0002486888,0.00004300099,0.8666657,0.1091843,0.0234908],"study_design_scores_gemma":[0.000003629023,0.000004974147,0.0001003887,0.0002601862,0.000001556761,0.00001383704,0.0001150073,0.00004634079,0.0000468385,0.1155333,0.8838702,0.000003658117],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006475357,0.04651628,0.00171607,0.08883146,0.003134867,0.00005312216,0.0003054664,0.00009224924,0.858703],"genre_scores_gemma":[0.1146821,0.1511061,0.005950598,0.05300945,0.005938732,0.0006711504,0.0009882569,0.000260219,0.6673933],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02742296,"threshold_uncertainty_score":0.09173894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01108402132631813,"score_gpt":0.2611032877042519,"score_spread":0.2500192663779338,"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."}}