{"id":"W4250092494","doi":"10.5204/mcj.1114","title":"Place","year":2016,"lang":"en","type":"article","venue":"M/C Journal","topic":"Cultural Industries and Urban Development","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003305329,0.00003077749,0.00003898879,0.00001419334,0.0004279625,0.00007748475,0.0001058707,0.00003486747,0.004927521],"category_scores_gemma":[0.0000979008,0.00001589417,0.00002601342,0.00005769392,0.00006150777,0.0001392723,0.00001230603,0.00007042151,0.0001777193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001243911,"about_ca_system_score_gemma":0.0001428939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008430253,"about_ca_topic_score_gemma":0.0002393348,"domain_scores_codex":[0.9994783,0.00003878766,0.00007976007,0.00004184989,0.0001889762,0.0001722693],"domain_scores_gemma":[0.9997352,0.00003131968,0.00003722549,0.00002710409,0.00005301017,0.0001161276],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000005684906,0.0000058701,0.003264272,1.57457e-7,0.000006792531,0.00001164522,0.001585701,1.584687e-7,0.0002146097,0.002153509,0.8695913,0.1231603],"study_design_scores_gemma":[0.0001225412,0.000009909209,0.001713798,0.00001514151,0.000001347399,0.00001353925,0.001301025,8.518015e-8,0.0001014623,0.000716544,0.9959617,0.00004289057],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4245168,0.0004490385,0.0007162148,0.2738968,0.002572233,0.0001183735,0.000002724505,0.00008074668,0.2976471],"genre_scores_gemma":[0.5123934,0.0003070448,0.0001875821,0.000254264,0.001075459,8.389088e-7,7.409889e-8,0.000003224898,0.4857781],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2736425,"threshold_uncertainty_score":0.9959821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04917146570218512,"score_gpt":0.2997120680462834,"score_spread":0.2505406023440983,"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."}}