{"id":"W7083168075","doi":"10.5281/zenodo.17192764","title":"Ising 128 grid dataset","year":2025,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"","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":[0.001225191,0.003313993,0.001730895,0.00440519,0.001048902,0.002265696,0.003209595,0.002801386,0.08810092],"category_scores_gemma":[0.006412668,0.0007971894,0.002032708,0.007307744,0.0007374844,0.001448207,0.001981785,0.002213906,0.1254391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001565494,"about_ca_system_score_gemma":0.003115546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03663335,"about_ca_topic_score_gemma":0.05985017,"domain_scores_codex":[0.9986682,0.0002903947,0.0001119588,0.0003699838,0.0003450837,0.0002144396],"domain_scores_gemma":[0.9979659,0.0005391298,0.0001404876,0.0005829346,0.0004983855,0.0002732277],"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":[0.00006953723,0.00003416583,0.0003003131,0.0003303415,0.00002856206,0.00002080443,0.00001415048,0.001051409,0.00008757279,0.0004445602,0.9953306,0.002288039],"study_design_scores_gemma":[0.0005141734,0.00004746965,0.002441907,0.0002466659,0.00006421957,0.00008613745,0.0001034502,0.003890522,0.0004577621,0.004608008,0.9874928,0.00004682591],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002846508,0.0001294502,0.0001601987,0.0001084354,0.00005601809,0.00002060647,0.9969074,0.0009490143,0.001384203],"genre_scores_gemma":[0.0004433706,0.00007841088,0.0004642816,0.00006283731,0.00001039763,0.00006235895,0.9976488,0.0001201102,0.001109382],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08810092,"threshold_uncertainty_score":0.2947269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1848314683412487,"score_gpt":0.4355598719437471,"score_spread":0.2507284036024984,"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."}}