{"id":"W4393475002","doi":"10.5281/zenodo.10256598","title":"Mountie Hat (Toon)","year":2018,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Engineering and Material Science Research","field":"Materials Science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004219695,0.002661875,0.001185319,0.002805624,0.0008259621,0.002301284,0.00221273,0.001821418,0.08651378],"category_scores_gemma":[0.002659502,0.0005941254,0.001298147,0.00503701,0.0003387231,0.002018159,0.002339954,0.001450279,0.1647157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001305969,"about_ca_system_score_gemma":0.001456711,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02738663,"about_ca_topic_score_gemma":0.06943034,"domain_scores_codex":[0.9993518,0.0000747377,0.00005509604,0.0002402121,0.0001545252,0.0001236432],"domain_scores_gemma":[0.9992052,0.0001375631,0.00009958287,0.0002320613,0.0002196383,0.0001059775],"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":[0.00005382029,0.00001284586,0.0008954506,0.0006928516,0.00001740532,0.00002020516,0.00002909643,0.0001961049,0.0001083606,0.0005070989,0.9945256,0.002941285],"study_design_scores_gemma":[0.00005070996,0.000008565095,0.001943536,0.0002025706,0.00001084725,0.00003360651,0.00006238533,0.0001879542,0.0002024145,0.0005574384,0.9967285,0.00001142412],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001868131,0.0001444136,0.00006837769,0.00005030477,0.00002616244,0.000008183781,0.9970877,0.0006872926,0.001740925],"genre_scores_gemma":[0.0004731946,0.0001104504,0.0002488264,0.00003556944,0.000006026778,0.00002941664,0.9978523,0.0001429335,0.00110135],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9726134,"threshold_uncertainty_score":0.2894174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0295566670812096,"score_gpt":0.2595505951725968,"score_spread":0.2299939280913872,"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."}}