{"id":"W4401938485","doi":"10.2139/ssrn.4939834","title":"A Graph-Structured Distance for Mixed-Variable Domains with Meta Variables","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Educational Technology and Assessment","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Graph; Variable (mathematics); Mathematics; Statistics; Computer science; Combinatorics","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":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.001734659,0.0004129934,0.0005129544,0.0002858598,0.0003467215,0.000423462,0.001966873,0.0003205634,0.00001097332],"category_scores_gemma":[0.00003655811,0.000296952,0.0003020626,0.0004780171,0.00009435901,0.0001733784,0.0006093174,0.004591734,0.000004002819],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000879816,"about_ca_system_score_gemma":0.01078265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002392624,"about_ca_topic_score_gemma":0.0003903687,"domain_scores_codex":[0.996438,0.00008270443,0.000390519,0.0007699716,0.0003843179,0.001934512],"domain_scores_gemma":[0.9984458,0.0001444865,0.0003503379,0.0007481177,0.0002207991,0.0000904673],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000176526,0.00005688716,0.00002545578,0.0000718818,0.003259545,0.000006049226,0.00005338514,0.0006651612,0.00003964408,0.9935595,0.0007640096,0.001480805],"study_design_scores_gemma":[0.0002810341,0.0001926265,0.00001819294,0.00009836639,0.000777623,0.0006438904,0.0001393311,0.0009041822,0.0001573346,0.9892822,0.007154746,0.000350472],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001372086,0.01518192,0.9743587,0.006384743,0.001555622,0.0004250769,0.00004117193,0.0002031819,0.000477446],"genre_scores_gemma":[0.6035842,0.00255698,0.3877614,0.00023514,0.0007066369,0.0007058801,0.00005205356,0.00008177922,0.004315883],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6022122,"threshold_uncertainty_score":0.9999483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009314512337425711,"score_gpt":0.2633383400120322,"score_spread":0.2540238276746065,"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."}}