{"id":"W4393502087","doi":"10.5281/zenodo.61234","title":"Mapp Dataset","year":2016,"lang":"en","type":"dataset","venue":"Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles)","topic":"Graph Theory and Algorithms","field":"Computer Science","cited_by":30,"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.0009669487,0.001686033,0.001343875,0.001909129,0.002420535,0.0007872377,0.01047212,0.001869818,0.001348933],"category_scores_gemma":[0.0001141039,0.001818239,0.0009329529,0.002317236,0.001019506,0.004347114,0.004601419,0.001897643,0.001760994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001540137,"about_ca_system_score_gemma":0.002495529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008957871,"about_ca_topic_score_gemma":0.000286212,"domain_scores_codex":[0.9921722,0.0008730901,0.0008003739,0.002456957,0.001127759,0.002569561],"domain_scores_gemma":[0.992842,0.0005162317,0.0008991222,0.003853781,0.0002800534,0.001608787],"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":[0.0005235334,0.0004042146,0.00005322896,0.0002642281,0.0004978674,0.005664314,0.001042814,0.000416506,0.0001541634,0.03530081,0.9487059,0.00697241],"study_design_scores_gemma":[0.005583192,0.0002355173,0.0003097217,0.0006562809,0.0004282624,0.001632912,0.001133394,0.002128867,0.0002411424,0.004582085,0.9808434,0.002225254],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007412927,0.00161195,0.1353652,0.002297122,0.00140027,0.0007487193,0.8551143,0.0008955069,0.001825563],"genre_scores_gemma":[0.001565775,0.006797216,0.01193449,0.003319038,0.0012944,0.00002750746,0.9691228,0.000178737,0.005760021],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1234308,"threshold_uncertainty_score":0.9995886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008696954149617473,"score_gpt":0.1967340076495968,"score_spread":0.1880370534999793,"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."}}