{"id":"W4400406394","doi":"10.36510/learnland.v17i1.1119","title":"Safe Spaces and Critical Places: Youth Programming and Community Support","year":2024,"lang":"en","type":"article","venue":"LEARNing Landscapes","topic":"Youth Development and Social Support","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Carleton University","funders":"","keywords":"Computer science; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001672278,0.0001074486,0.0001524917,0.0000650011,0.001745817,0.0006727435,0.00009092739,0.0001162328,0.0001835355],"category_scores_gemma":[0.0005961269,0.00009672938,0.00002912134,0.0001658756,0.0002872696,0.0002530399,0.00007826206,0.0005911588,0.0000210059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002056628,"about_ca_system_score_gemma":0.0001262625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001212089,"about_ca_topic_score_gemma":0.001526746,"domain_scores_codex":[0.9986859,0.0004412036,0.0001313283,0.0001715213,0.0002385592,0.0003314849],"domain_scores_gemma":[0.9991283,0.0006121797,0.00002086365,0.00004871016,0.00003460308,0.0001552768],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009996645,0.00002199714,0.4868412,0.0001098946,0.00002866108,0.00002376094,0.4756043,5.290045e-7,0.000004303568,0.00867655,0.0001968582,0.02848198],"study_design_scores_gemma":[0.0002912697,0.0002371906,0.05207344,0.0002523422,0.0001105761,0.000009790253,0.4272241,0.00009993596,0.000009716925,0.00120361,0.5179505,0.0005374374],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9545785,0.0006765745,0.00004031622,0.00150987,0.0002097485,0.0001056602,0.000003491069,0.0002956317,0.0425802],"genre_scores_gemma":[0.9958147,0.0002391741,0.0004061616,0.00004543865,0.0001759107,0.000006612413,0.00001910592,0.00001297915,0.003279963],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5177537,"threshold_uncertainty_score":0.9995538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02884386835506382,"score_gpt":0.314832569665554,"score_spread":0.2859887013104902,"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."}}