{"id":"W2931877732","doi":"10.1108/9781789737790","title":"Inclusive Growth","year":2019,"lang":"en","type":"book","venue":"","topic":"Income, Poverty, and Inequality","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Quest University Canada","funders":"British Academy; British Academy of Management","keywords":"Inclusive growth; Political science","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":[0.0007440343,0.0006805141,0.0003721391,0.0008726506,0.002145014,0.006793991,0.0008053423,0.001495398,0.04007819],"category_scores_gemma":[0.001725173,0.0002084098,0.0003815434,0.00113789,0.001896166,0.004814477,0.006109558,0.002698005,0.01899526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0015471,"about_ca_system_score_gemma":0.002177564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001401831,"about_ca_topic_score_gemma":0.003611824,"domain_scores_codex":[0.9992344,0.0001507424,0.0000252015,0.00009530286,0.0003748885,0.0001193933],"domain_scores_gemma":[0.9995356,0.0001112606,0.00002844848,0.00008101875,0.0001314754,0.0001123289],"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":[0.00001014286,0.00002673991,0.0001638151,0.0001213764,0.000004104819,0.0001275704,0.001319045,0.0002209581,0.0002552024,0.6244349,0.2485029,0.1248133],"study_design_scores_gemma":[0.000001011093,0.000004106636,0.0001092993,0.0000983755,0.000001137738,0.00009715848,0.000391598,0.00006499737,0.0001004302,0.04634706,0.952782,0.000002812052],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0007278204,0.003918175,0.003396645,0.004613591,0.001276943,0.00003305477,0.00006329293,0.0001078762,0.9858627],"genre_scores_gemma":[0.02543919,0.009107122,0.004154606,0.002700931,0.0006136436,0.0001329339,0.0002692652,0.0002394892,0.9573428],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04007819,"threshold_uncertainty_score":0.1340749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02444171337763091,"score_gpt":0.3153110375074112,"score_spread":0.2908693241297803,"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."}}