{"id":"W2768587752","doi":"10.1177/2380084417743430","title":"Looking Backward and Forward","year":2017,"lang":"en","type":"editorial","venue":"JDR Clinical & Translational Research","topic":"Hernia repair and management","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"International Association for Dental Research; American Association for Dental, Oral, and Craniofacial Research","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":["metaresearch","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00878328,0.0002591485,0.0008143641,0.000267317,0.0003738536,0.0001729442,0.0003817326,0.001256469,0.0005299452],"category_scores_gemma":[0.00918602,0.000220816,0.000421141,0.0001040445,0.0006559707,0.0001135784,0.0001928032,0.003641082,0.0003288201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005901674,"about_ca_system_score_gemma":0.001690884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000684476,"about_ca_topic_score_gemma":0.0001038617,"domain_scores_codex":[0.9936291,0.0004003056,0.0008800594,0.000890951,0.003594816,0.0006047677],"domain_scores_gemma":[0.9900325,0.007494681,0.0001386362,0.0008015039,0.0009977103,0.000534958],"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":[0.0007885102,0.0001825785,0.001847023,0.0004910133,0.0003013617,0.0001049716,0.0000486024,5.484806e-7,0.000002889376,0.0003201573,0.9226322,0.07328015],"study_design_scores_gemma":[0.002758314,0.0005222182,0.00917119,0.0004969005,0.0001583884,0.000002156397,0.00001045903,0.0002067254,0.000001235309,0.0019494,0.9845361,0.0001869333],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.001356691,0.002877522,0.0008017162,0.02111496,0.7589844,0.003249242,0.0003929157,0.0001971791,0.2110254],"genre_scores_gemma":[0.007111106,0.004311608,0.002085643,0.0001330783,0.9485226,0.0001019939,0.0007224799,0.0001011663,0.03691032],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.1895382,"threshold_uncertainty_score":0.9991601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2094854011737671,"score_gpt":0.5642724448088683,"score_spread":0.3547870436351012,"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."}}