{"id":"W7089531290","doi":"10.5281/zenodo.17333778","title":"Replication Package for SANER26","year":2025,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Replication (statistics); Security token; R package; Key (lock); Raw data","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01378223,0.003218962,0.003611467,0.005126685,0.002898526,0.005857411,0.006246715,0.002145603,0.5815364],"category_scores_gemma":[0.06690232,0.002952244,0.004788236,0.005932956,0.001020599,0.004094586,0.005850715,0.005529679,0.5154514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001480077,"about_ca_system_score_gemma":0.005494471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006848888,"about_ca_topic_score_gemma":0.009098212,"domain_scores_codex":[0.9900058,0.002796025,0.001281722,0.002624568,0.002577493,0.0007144244],"domain_scores_gemma":[0.9528634,0.01166768,0.001635648,0.01956539,0.01279565,0.001472161],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002395749,0.00003201295,0.0002470599,0.0004494674,0.0001076736,0.00003827186,0.00008716498,0.0003570722,0.000488608,0.001494363,0.987967,0.00849172],"study_design_scores_gemma":[0.0006330396,0.00007283452,0.001547634,0.0002314628,0.0001259663,0.000129562,0.00007266316,0.002111622,0.002924429,0.01108805,0.9809075,0.0001553437],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009342441,0.000128778,0.05249951,0.000761311,0.002886142,0.0006315344,0.7729628,0.150346,0.01884973],"genre_scores_gemma":[0.005689083,0.0001551237,0.06586643,0.0006843472,0.0006729506,0.004432566,0.6854214,0.2080707,0.02900741],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9862177,"threshold_uncertainty_score":0.5968876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02368593841767005,"score_gpt":0.2765502520115183,"score_spread":0.2528643135938483,"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."}}