{"id":"W42914663","doi":"","title":"Chapter 33 Unfolding the map : Making knowledge and ignorance mobilization dynamics visible in science evaluation and policymaking","year":2014,"lang":"en","type":"book-chapter","venue":"Taylor & Francis eBooks","topic":"Critical Realism in Sociology","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ignorance; Mobilization; Political science; Law","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":["metaresearch","sts"],"consensus_categories":[],"category_scores_codex":[0.001445686,0.0004382732,0.000224251,0.0007403416,0.002475708,0.007387148,0.0006949927,0.001807097,0.01845263],"category_scores_gemma":[0.003568079,0.0002159943,0.0002765431,0.001158247,0.007201751,0.005766077,0.002219278,0.002899624,0.002791817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004362914,"about_ca_system_score_gemma":0.004371681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007733508,"about_ca_topic_score_gemma":0.01453498,"domain_scores_codex":[0.9992995,0.0004065995,0.00001461548,0.00006931562,0.0001613082,0.00004855337],"domain_scores_gemma":[0.9990025,0.0006717389,0.00003163647,0.00007457376,0.000164093,0.00005537837],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.000007721726,0.000008932109,0.00007459211,0.0001151243,0.000003591625,0.00003937613,0.007980415,0.000428334,0.0001505818,0.8611479,0.09052582,0.03951759],"study_design_scores_gemma":[0.000002504323,0.00000474109,0.0001626582,0.00053438,0.000003192042,0.00003779881,0.003570599,0.0004221234,0.000248574,0.3906088,0.6043968,0.00000780953],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.002282335,0.01178912,0.02324268,0.02723886,0.001891027,0.00007380843,0.000110909,0.0001278579,0.9332433],"genre_scores_gemma":[0.2102305,0.01761821,0.02381446,0.005029993,0.00111269,0.000282137,0.0002395626,0.0005909473,0.7410815],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9985543,"threshold_uncertainty_score":0.06173027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04533869934579104,"score_gpt":0.3772123741221164,"score_spread":0.3318736747763254,"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."}}