{"id":"W3120508689","doi":"10.47611/jsr.v9i2.821","title":"Making Up for Lost Time","year":2021,"lang":"en","type":"article","venue":"Journal of Student Research","topic":"Cultural Industries and Urban Development","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hybridity; Context (archaeology); Indigenization; Sociology; Globalization; Cultural globalization; Colonialism; Media studies; Economic geography; Political science; History; Anthropology; Geography; 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":[],"consensus_categories":[],"category_scores_codex":[0.00384386,0.0009441854,0.0007884871,0.0013146,0.01950691,0.01544312,0.002186733,0.004537831,0.06479628],"category_scores_gemma":[0.0111298,0.000358355,0.00082467,0.00112047,0.01665413,0.02226416,0.02011489,0.01004146,0.0231622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005236802,"about_ca_system_score_gemma":0.005628092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004930348,"about_ca_topic_score_gemma":0.01053081,"domain_scores_codex":[0.9954607,0.001348383,0.000142693,0.0007539429,0.000939187,0.001355179],"domain_scores_gemma":[0.9971831,0.000410073,0.0002237194,0.0003826236,0.0005585323,0.001241941],"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":[0.00007147239,0.00006390487,0.001009718,0.0001240652,0.00002339306,0.0009928752,0.07016593,0.0000891024,0.0002516932,0.3930341,0.4553876,0.07878609],"study_design_scores_gemma":[0.000004329215,0.00001385272,0.0001694782,0.0001358377,0.000004226917,0.0002650905,0.01862087,0.00003436939,0.00006228974,0.01855811,0.9621173,0.00001412449],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02358396,0.01722172,0.01040987,0.2302888,0.05152126,0.0001188656,0.0004140762,0.0005019232,0.6659396],"genre_scores_gemma":[0.221466,0.006647821,0.003173157,0.06175591,0.00479095,0.0001631279,0.0004652841,0.0009662182,0.7005714],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06479628,"threshold_uncertainty_score":0.2167652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5211304093395435,"score_gpt":0.5600116866150932,"score_spread":0.03888127727554969,"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."}}