{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008376664,0.002638372,0.001310671,0.004347106,0.0009589609,0.002046742,0.002848219,0.002202845,0.03706464],"category_scores_gemma":[0.006658254,0.0005210675,0.001487555,0.004366788,0.0006951241,0.001382673,0.002839927,0.001800554,0.07343714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001031854,"about_ca_system_score_gemma":0.002116215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01128437,"about_ca_topic_score_gemma":0.02639174,"domain_scores_codex":[0.9987267,0.0001734032,0.0002193539,0.0003742805,0.0003380782,0.0001681973],"domain_scores_gemma":[0.9975072,0.000529723,0.0002120926,0.0007525124,0.000773673,0.0002249111],"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":[0.0003501733,0.0001480276,0.001912178,0.002180075,0.00007609226,0.0001064685,0.000106853,0.0004626204,0.0009853248,0.0007148902,0.9761455,0.01681187],"study_design_scores_gemma":[0.0004549558,0.000124853,0.01372263,0.0005838907,0.0001018449,0.0003411043,0.0003992754,0.001404013,0.002480432,0.001727753,0.978565,0.00009424741],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001600388,0.0002671217,0.0003406055,0.00009291549,0.00008767939,0.00009552171,0.9949175,0.0009898243,0.001608351],"genre_scores_gemma":[0.001533404,0.00007487805,0.0006135367,0.00004108417,0.00001117866,0.0002569121,0.9965065,0.00006230395,0.0009001478],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03706464,"threshold_uncertainty_score":0.1239936,"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."}}