{"id":"W4397017942","doi":"10.1515/9782760640214-fm","title":"Front Matter","year":2019,"lang":"en","type":"paratext","venue":"Cannabis","topic":"Cultural Industries and Urban Development","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Front (military); Geography; Meteorology","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007929277,0.0008893115,0.000670013,0.001316284,0.002469779,0.004049397,0.001104014,0.003309699,0.7687589],"category_scores_gemma":[0.00208038,0.0002292253,0.0003071905,0.0008150258,0.001311337,0.0009169207,0.001162873,0.001510651,0.3930074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006536908,"about_ca_system_score_gemma":0.009160668,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5116994,"about_ca_topic_score_gemma":0.5460909,"domain_scores_codex":[0.9994292,0.00006345479,0.00001889889,0.0001050939,0.0002343558,0.0001489369],"domain_scores_gemma":[0.9982967,0.000218162,0.00008679391,0.00008633268,0.0007280227,0.0005840297],"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":[0.0001010323,0.00005039888,0.001861007,0.0003167846,0.00001229424,0.0002696574,0.000208992,0.0001584953,0.0005693757,0.006756866,0.8488271,0.1408679],"study_design_scores_gemma":[0.000008919737,0.000008987792,0.002818221,0.0001313019,0.000002325836,0.000109756,0.0001676383,0.00008900385,0.0001196294,0.0002637373,0.9962752,0.000005289494],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00363016,0.009590452,0.0006601099,0.01958875,0.004079111,0.0001183083,0.01141877,0.0009290727,0.9499852],"genre_scores_gemma":[0.01102371,0.002553647,0.0002846165,0.001159118,0.0004630372,0.00002248505,0.002038883,0.000124681,0.9823298],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5116994,"threshold_uncertainty_score":0.9823526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03152912840553925,"score_gpt":0.2921182577850052,"score_spread":0.2605891293794659,"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."}}