{"id":"W4393679618","doi":"10.5281/zenodo.10262987","title":"Mask - Galukwamt","year":2017,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Architecture, Art, Education","field":"Arts and Humanities","cited_by":0,"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","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006062784,0.0003059988,0.0002716382,0.0003883863,0.008416366,0.003308727,0.002406863,0.000135649,0.1590901],"category_scores_gemma":[0.0005937164,0.0003086754,0.0001071242,0.00005588782,0.000611563,0.0003624916,0.001086469,0.0007106385,0.07446266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001574769,"about_ca_system_score_gemma":0.00001549574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002332594,"about_ca_topic_score_gemma":0.00003761587,"domain_scores_codex":[0.9977539,0.000347967,0.0003228476,0.0005841682,0.0005107761,0.0004804081],"domain_scores_gemma":[0.9974596,0.00002945058,0.000357461,0.001433898,0.0005188384,0.0002007588],"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":[0.00002439002,0.0001088021,4.63035e-8,0.0001361368,0.00005779543,0.00001082145,0.004144916,0.000001889141,0.000006918006,0.00256526,0.9825577,0.01038539],"study_design_scores_gemma":[0.0002188516,0.0001466549,0.00001117299,0.00007420614,0.00005261831,0.00004409529,0.0004201666,0.000005528229,0.000005627391,0.0004268861,0.9982539,0.0003402578],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005148849,0.00009110105,0.00002413271,0.0006749812,0.0008066057,0.0004474064,0.8058476,0.0004521992,0.1916044],"genre_scores_gemma":[0.0007318153,0.0001678862,0.00002451436,0.000217754,0.002152621,7.835376e-8,0.9800363,0.00144529,0.01522372],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1763807,"threshold_uncertainty_score":0.9999365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05666673315568098,"score_gpt":0.2685320859695294,"score_spread":0.2118653528138484,"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."}}