{"id":"W3111477678","doi":"10.17605/osf.io/pejaq","title":"FOCAL3D Simulated Data","year":2020,"lang":"en","type":"article","venue":"OSF Preprints (OSF Preprints)","topic":"Advanced Clustering Algorithms Research","field":"Computer 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":[0.004275905,0.0007850728,0.001080337,0.001826358,0.001117197,0.001613442,0.002699195,0.002820881,0.008977602],"category_scores_gemma":[0.01881169,0.0007178943,0.0016069,0.00296669,0.001503462,0.0009645862,0.001183679,0.001882077,0.002059611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002799223,"about_ca_system_score_gemma":0.001688599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03191221,"about_ca_topic_score_gemma":0.02271065,"domain_scores_codex":[0.9976248,0.001160288,0.0001113464,0.0004839464,0.0004107096,0.0002090314],"domain_scores_gemma":[0.9857853,0.007569086,0.0004898733,0.002867623,0.002838395,0.0004496796],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001307214,0.0003856808,0.01261694,0.0003084988,0.0002394085,0.0002201279,0.0002218495,0.945507,0.001881871,0.01175668,0.0136397,0.01191505],"study_design_scores_gemma":[0.0005870556,0.0003199641,0.01277416,0.00007379492,0.0000721239,0.0002844903,0.0002924547,0.9596024,0.005823908,0.01092323,0.00913847,0.0001080296],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.8378524,0.000498961,0.09139692,0.00117039,0.0002897809,0.0005986977,0.05279231,0.002653434,0.01274717],"genre_scores_gemma":[0.9176625,0.0001154513,0.02927647,0.0001992987,0.00002829651,0.0005512297,0.04944434,0.000316656,0.002405721],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.03191221,"threshold_uncertainty_score":0.0634529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05957103236775121,"score_gpt":0.3248640466688588,"score_spread":0.2652930143011075,"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."}}