{"id":"W4205765324","doi":"10.17504/protocols.io.b3jyqkpw","title":"[RETRACTED] Ke-to Strong XP v1","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","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":["research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003476651,0.001549445,0.00182574,0.002747827,0.003487368,0.01159708,0.00337808,0.006344207,0.8117034],"category_scores_gemma":[0.02914287,0.001150644,0.001765954,0.002363472,0.001420126,0.005435832,0.005576096,0.005895097,0.8457242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001981969,"about_ca_system_score_gemma":0.003522197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01093888,"about_ca_topic_score_gemma":0.01525251,"domain_scores_codex":[0.996609,0.0004846887,0.0002251271,0.0005356809,0.001515763,0.0006298887],"domain_scores_gemma":[0.984422,0.001898577,0.0002801697,0.003596097,0.008112609,0.001690644],"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":[0.00002363768,0.000008624771,0.00003180066,0.00002205092,0.000002542555,0.00002142412,0.00001224229,0.00001763229,0.0000570171,0.0004140708,0.9938387,0.005550322],"study_design_scores_gemma":[0.0000201733,0.000008942122,0.0001947887,0.00005446553,0.00000402381,0.00003241213,0.00004462252,0.0001333427,0.0002392008,0.001309527,0.9979377,0.00002087098],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0009037332,0.0004617577,0.01148951,0.04312352,0.06738479,0.0006033893,0.04847068,0.08572748,0.7418353],"genre_scores_gemma":[0.002078556,0.0001545661,0.001996944,0.006877219,0.002078559,0.000182725,0.01201251,0.01626033,0.9583585],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9936558,"threshold_uncertainty_score":0.2685823,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07923797517242266,"score_gpt":0.237636821085622,"score_spread":0.1583988459131993,"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."}}