{"id":"W6911372496","doi":"10.5281/zenodo.10362278","title":"MeshLab-2023.12","year":2023,"lang":"en","type":"other","venue":"ISTI Open Portal","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dignitas International","funders":"","keywords":"Rendering (computer graphics); Visualization; Set (abstract data type); Data visualization; 3d model","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003930138,0.0005643389,0.0007709778,0.000361826,0.0000644798,0.0002979091,0.001803883,0.0004734843,0.1220618],"category_scores_gemma":[0.0001599529,0.0005675805,0.0001633526,0.0004380902,0.0001371427,0.000134638,0.0009303522,0.0003924891,0.3660583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000918302,"about_ca_system_score_gemma":0.000322767,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0129466,"about_ca_topic_score_gemma":0.06481802,"domain_scores_codex":[0.9973841,0.00006164499,0.0004070383,0.0009078834,0.0006376936,0.0006016043],"domain_scores_gemma":[0.9979525,0.00003928648,0.0005138764,0.001222124,0.00003359216,0.0002386303],"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":[0.00001715068,0.0000540249,0.0002803392,0.00002456823,0.0002876054,0.00174304,0.00002065681,4.894963e-7,0.00001875607,0.002150551,0.9948741,0.000528727],"study_design_scores_gemma":[0.00051838,0.00002894415,0.0007581292,0.0002903434,0.0001213864,0.00003734236,0.00003520002,0.000003583058,0.00001056973,0.0001324277,0.9973606,0.0007030348],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000007417027,0.0002780374,0.000003016699,0.00004498855,0.001898839,0.001160961,0.005658415,0.002080442,0.9888679],"genre_scores_gemma":[0.000301147,0.00002926581,0.0003847606,0.0000992902,0.0009959516,0.0001465629,0.001166144,0.009817618,0.9870592],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2439965,"threshold_uncertainty_score":0.9996775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04562625846546363,"score_gpt":0.3370788985280191,"score_spread":0.2914526400625554,"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."}}