{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009675251,0.001856673,0.001293012,0.003712344,0.0008668668,0.001903235,0.002881237,0.002096117,0.05757966],"category_scores_gemma":[0.006060747,0.0004816814,0.00134643,0.005847864,0.0003947678,0.001609713,0.001727359,0.001909594,0.07541851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00159388,"about_ca_system_score_gemma":0.002159127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01754845,"about_ca_topic_score_gemma":0.04291837,"domain_scores_codex":[0.9987795,0.0002257835,0.0001681923,0.0003834444,0.0002781529,0.000164973],"domain_scores_gemma":[0.9977294,0.0006431441,0.0002116522,0.0005666013,0.000635664,0.0002135835],"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":[0.00005036471,0.00003641366,0.0009459252,0.0005363929,0.00002748213,0.00002880462,0.00002231666,0.0004297686,0.00009947564,0.0007801457,0.9933649,0.003678069],"study_design_scores_gemma":[0.0001718949,0.0000219935,0.004061471,0.0002209126,0.00002392345,0.0001021061,0.0001246392,0.0008945407,0.0002409863,0.001836709,0.9922807,0.00002010399],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002506733,0.0001119881,0.0001186774,0.0001300045,0.00003638556,0.00001802231,0.9979334,0.0003309856,0.001069871],"genre_scores_gemma":[0.000531854,0.00007848371,0.0003796956,0.00005725117,0.000009180345,0.00006554352,0.9981022,0.00003827424,0.0007375964],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05757966,"threshold_uncertainty_score":0.1926232,"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."}}