{"id":"W2055603960","doi":"10.1177/204382061200200113","title":"Waiting to enter, or locked out? Educated unemployed youth in Craig Jeffrey’s <i>Timepass</i>","year":2012,"lang":"en","type":"article","venue":"Dialogues in Human Geography","topic":"Youth Education and Societal Dynamics","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Sociology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001262894,0.0002346573,0.0003268318,0.0006227071,0.0004208875,0.0001287581,0.000482649,0.0002041314,0.0001891911],"category_scores_gemma":[0.000366999,0.0002359565,0.0001789443,0.001405149,0.0003200858,0.0003211488,0.00009353225,0.0003096561,0.00008677758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001666723,"about_ca_system_score_gemma":0.0001292774,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.007656912,"about_ca_topic_score_gemma":0.02802537,"domain_scores_codex":[0.9973361,0.0003992576,0.0005138772,0.0003628409,0.0003867205,0.001001148],"domain_scores_gemma":[0.9989538,0.0001716341,0.0001234385,0.0002841622,0.00009109615,0.0003758953],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001664109,0.0004761159,0.7055968,0.00001269473,0.00001455737,0.000001623029,0.2897294,0.000007831046,0.00003237609,0.002878384,0.000739762,0.0004938743],"study_design_scores_gemma":[0.00199507,0.0001871902,0.6928018,0.0003173471,0.00008553971,5.773801e-7,0.2723624,0.00003836637,0.00007585876,0.002735163,0.02783136,0.00156932],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9848607,0.0001551396,0.00001320484,0.0006092046,0.002091154,0.0006004063,0.00004264986,0.0001447619,0.01148282],"genre_scores_gemma":[0.9971926,0.00005088736,0.0001897651,0.001117344,0.0005336045,0.00009286605,0.0002074856,0.00003138218,0.0005840905],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0270916,"threshold_uncertainty_score":0.9989512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08144006554515192,"score_gpt":0.3601452215093623,"score_spread":0.2787051559642104,"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."}}