{"id":"W4393841588","doi":"10.5281/zenodo.2658726","title":"Mental imagery data from words","year":2019,"lang":"en","type":"dataset","venue":"Figshare","topic":"Image Retrieval and Classification Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Mental image; Computer science; Psychology; Neuroscience; Cognition","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":["open_science","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00006190797,0.0002525988,0.0002514379,0.00009189655,0.00006587626,0.0004705581,0.006749208,0.0002423448,0.1426471],"category_scores_gemma":[0.0003277908,0.0002323569,0.00006944364,0.0002411266,0.000007137434,0.0007989174,0.003850446,0.000380467,0.0414926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005324036,"about_ca_system_score_gemma":0.0001974944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003420321,"about_ca_topic_score_gemma":0.000004073237,"domain_scores_codex":[0.9981847,0.00004997903,0.0002422853,0.0008524526,0.0004395391,0.0002310793],"domain_scores_gemma":[0.9951932,0.0001360011,0.0002392023,0.004284892,0.00007054326,0.00007617583],"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":[0.000001122524,0.00002457346,9.382138e-8,0.000057851,0.00001346874,0.00001407888,0.000004153359,5.23747e-9,0.00000957845,5.671353e-7,0.9966844,0.003190083],"study_design_scores_gemma":[0.00006034873,0.00001232943,0.00002105196,0.000665312,0.000006599516,0.000003605573,0.000001612642,0.0006003125,0.0004819553,0.0000306565,0.9978238,0.0002924013],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[1.118824e-8,0.0004861379,0.0004369414,0.0001402446,0.0003102088,0.0002520432,0.9979798,0.0002011011,0.0001935359],"genre_scores_gemma":[7.689188e-7,0.0000500789,0.0011927,0.0004763259,0.000255126,0.0000524968,0.9974629,0.00001232059,0.0004972935],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1011545,"threshold_uncertainty_score":0.9986247,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1253967012254122,"score_gpt":0.3305882503454137,"score_spread":0.2051915491200015,"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."}}