{"id":"W3064588710","doi":"10.4103/ijc.ijc_882_20","title":"A call for transparency in data reporting","year":2020,"lang":"en","type":"editorial","venue":"Indian Journal of Cancer","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Transparency (behavior); Business; Computer security; Internet privacy; Computer science; Data 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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.7432175,0.002835548,0.007912545,0.01534085,0.01144649,0.07528465,0.02097483,0.04817768,0.01454553],"category_scores_gemma":[0.8917727,0.006279446,0.01030083,0.0176256,0.08020956,0.1010121,0.03993113,0.1390497,0.01250691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0247451,"about_ca_system_score_gemma":0.09385957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006600006,"about_ca_topic_score_gemma":0.003762971,"domain_scores_codex":[0.1549008,0.6043916,0.09366841,0.03053763,0.1092292,0.007272475],"domain_scores_gemma":[0.02428104,0.7316862,0.04047841,0.1262607,0.06807773,0.009215995],"domain_codex":"methods","domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003695998,0.00008964805,0.00140757,0.003631434,0.0004865547,0.000435797,0.01494649,0.001079995,0.000555021,0.3309616,0.5570433,0.08899296],"study_design_scores_gemma":[0.000158249,0.0000956687,0.0007957895,0.009774433,0.0001046151,0.0005914262,0.003309269,0.001992482,0.0006613689,0.332852,0.6492553,0.0004094825],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.0003768444,0.005111286,0.05997821,0.8971213,0.02815091,0.0004187423,0.0004277261,0.00128389,0.007131087],"genre_scores_gemma":[0.03333339,0.007329778,0.181749,0.7191266,0.04511341,0.00367182,0.001033709,0.002480567,0.006161703],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.2567825,"threshold_uncertainty_score":0.3166586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6118890140638684,"score_gpt":0.6531323810850348,"score_spread":0.04124336702116638,"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."}}