{"id":"W6980799941","doi":"","title":"Credit repair for survivors of modern slavery and human trafficking","year":2022,"lang":"en","type":"other","venue":"UNU Collections (United Nations University)","topic":"Student Assessment and Feedback","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Human trafficking; Financial sector; Credit crunch; Debt; Government (linguistics)","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":"codex-gemma-dda1882f352a","candidate_categories":["bibliometrics","sts","insufficient_payload"],"consensus_categories":["bibliometrics"],"category_scores_codex":[0.0001975995,0.0001224962,0.0001869598,0.1545603,0.002931838,0.00003845291,0.0002254711,0.0001780039,0.002077751],"category_scores_gemma":[0.00007133497,0.0001723938,0.00014204,0.1012449,0.0002016545,0.0001020845,0.00007401569,0.0001494196,8.773423e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002579509,"about_ca_system_score_gemma":0.000215649,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001420161,"about_ca_topic_score_gemma":0.02727345,"domain_scores_codex":[0.9990411,0.0001625743,0.0001141233,0.0002437764,0.0002699473,0.0001684861],"domain_scores_gemma":[0.9991763,0.0002791002,0.0001843511,0.0001431098,0.0001591746,0.00005792363],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009301294,0.0001302404,0.0006399202,0.00002337276,0.0002221427,0.000001997296,0.003381912,0.00005146275,0.000005181619,0.7786818,0.2167948,0.00005784438],"study_design_scores_gemma":[0.000465212,0.00005810912,0.00002087479,0.00002038365,0.0001646195,2.328891e-7,0.01041065,0.0001696419,3.665586e-7,0.0002054693,0.9883208,0.0001635915],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006977703,0.00004772556,0.0007115179,0.0001182459,0.0003036369,0.0006807832,0.0002068361,0.000346195,0.9968873],"genre_scores_gemma":[0.003238662,0.0002613309,0.0007751923,0.000007446351,0.0001213187,0.00000950357,0.0001763106,0.00006292715,0.9953473],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7784764,"threshold_uncertainty_score":0.9988345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02521233890014941,"score_gpt":0.2777655466348463,"score_spread":0.2525532077346969,"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."}}