{"id":"W4321599030","doi":"10.1111/johs.12399","title":"Box Store Detention","year":2023,"lang":"en","type":"article","venue":"Sociology Lens","topic":"Imbalanced Data Classification Techniques","field":"Computer Science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004812823,0.0004671684,0.000326052,0.0009830231,0.007116528,0.00243171,0.001671462,0.001482816,0.6505644],"category_scores_gemma":[0.002790581,0.0003426229,0.0003967768,0.0008793151,0.0006680141,0.001339022,0.00279392,0.002081336,0.232144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002765023,"about_ca_system_score_gemma":0.008211301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1615291,"about_ca_topic_score_gemma":0.3752959,"domain_scores_codex":[0.9991255,0.00006026919,0.00003645353,0.00009363965,0.000394691,0.0002894472],"domain_scores_gemma":[0.9981426,0.0001036545,0.00006811453,0.0001412875,0.0008834758,0.0006609249],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002064852,0.00005441121,0.0008217031,0.00004103333,0.00000198682,0.000227057,0.0001419292,0.00002470096,0.00007122657,0.002629109,0.959426,0.03654014],"study_design_scores_gemma":[0.000009348821,0.00002342278,0.004240934,0.00009566813,0.000001930383,0.0002077481,0.0007662392,0.00005022238,0.00007415071,0.0005766019,0.9939445,0.000009336881],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.007282133,0.0009408671,0.000546073,0.007638797,0.003605442,0.0003639483,0.007894507,0.000925686,0.9708026],"genre_scores_gemma":[0.01824188,0.000614911,0.0003572301,0.003023823,0.0002337621,0.00006264523,0.002608625,0.0001471101,0.97471],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6505644,"threshold_uncertainty_score":0.4984274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04393673555026284,"score_gpt":0.299427206490894,"score_spread":0.2554904709406312,"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."}}