{"id":"W4392266173","doi":"10.51644/acvb8501","title":"The Good Samaritan","year":2008,"lang":"en","type":"article","venue":"Consensus","topic":"Religion, Society, and Development","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Regional Municipality of Waterloo","funders":"","keywords":"Computer 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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0003848567,0.00005198995,0.00006072655,0.000007852151,0.001964139,0.00003651973,0.0001472019,0.00005523509,0.0000223779],"category_scores_gemma":[0.0002448134,0.00003737122,0.00005442707,0.0001318015,0.0005922058,0.00001210108,0.00002187004,0.00006701991,0.0001397096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006836058,"about_ca_system_score_gemma":0.0003520605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003576634,"about_ca_topic_score_gemma":0.0006505218,"domain_scores_codex":[0.9992097,0.00009363821,0.0001087093,0.000102582,0.0002452292,0.0002401633],"domain_scores_gemma":[0.9993126,0.000372726,0.0000299582,0.0001251925,0.00007676449,0.00008275772],"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":[0.000006051791,0.00001684555,0.006367015,0.000001306971,0.00002074848,0.00002464848,0.1016963,4.192424e-7,0.00001659053,0.03221844,0.8584418,0.001189855],"study_design_scores_gemma":[0.0001438727,0.000008078344,0.03656485,0.000003180082,0.000003230351,0.000009042981,0.03484481,0.000002248433,0.00002719094,0.009606286,0.9186924,0.00009479849],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7420606,0.006774541,0.000007636295,0.00666997,0.0007514857,0.0001428538,0.000001166652,0.00009526884,0.2434965],"genre_scores_gemma":[0.9834856,0.01099518,0.0003386983,0.000378605,0.000201693,0.000006120977,5.12919e-7,0.000004674289,0.004588861],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2414251,"threshold_uncertainty_score":0.9993352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03795303660766954,"score_gpt":0.2956107822953651,"score_spread":0.2576577456876956,"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."}}