{"id":"W4285136827","doi":"10.1007/978-3-030-44556-0_96","title":"Non-market Intelligence for Public Affairs","year":2022,"lang":"en","type":"book-chapter","venue":"","topic":"Corruption and Economic Development","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Global Affairs Canada","funders":"","keywords":"Political science; Business","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":[0.0007338749,0.0006500921,0.000384837,0.001121754,0.001954316,0.007236082,0.0006012004,0.002310835,0.03623311],"category_scores_gemma":[0.001647989,0.000239916,0.0001851532,0.001943203,0.003388139,0.005553903,0.0012339,0.002897737,0.008786261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003284711,"about_ca_system_score_gemma":0.002914068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004680329,"about_ca_topic_score_gemma":0.01142971,"domain_scores_codex":[0.9994786,0.0001980805,0.00001215939,0.00004411064,0.0002137704,0.00005325877],"domain_scores_gemma":[0.9993907,0.0003492403,0.00003972148,0.00006963018,0.000119662,0.00003106526],"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":[0.00000211631,0.00001402106,0.00003015081,0.00003814416,0.000001217737,0.0000118685,0.0001988683,0.000117557,0.0000336984,0.8997201,0.07896034,0.02087183],"study_design_scores_gemma":[0.000002024758,0.000004460965,0.0002128229,0.0001579036,0.0000018749,0.00003443803,0.0002071629,0.0003280519,0.0001033739,0.3548884,0.6440552,0.0000043507],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003582968,0.007662741,0.001550732,0.003503333,0.0004941095,0.00001229037,0.00002862108,0.00002375587,0.9863662],"genre_scores_gemma":[0.02592895,0.008699125,0.001004646,0.001624652,0.0007791682,0.00004717314,0.00006155929,0.0000584326,0.9617963],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03623311,"threshold_uncertainty_score":0.1212118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06864393912841585,"score_gpt":0.2915818341069473,"score_spread":0.2229378949785314,"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."}}