{"id":"W7028773137","doi":"","title":"Growth Functions of Fr-sets","year":2017,"lang":"en","type":"article","venue":"Bulgarian Digital Mathematics Library (BulDML) at IMI-BAS (Institute of Mathematics and Informatics)","topic":"Water Governance and Infrastructure","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Universities Space Research Association","keywords":"Growth function; Function (biology); Group (periodic table); Cell function","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003701853,0.0004375081,0.0008729731,0.0001963573,0.001068929,0.0009937797,0.001241018,0.0003010203,0.0003049011],"category_scores_gemma":[0.0008059541,0.0003729512,0.0002678328,0.0001813746,0.001558287,0.007564519,0.0007712596,0.0002371792,0.00009827685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004964764,"about_ca_system_score_gemma":0.0002982242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008441847,"about_ca_topic_score_gemma":0.00003879983,"domain_scores_codex":[0.9967554,0.00001477591,0.001613748,0.0002180649,0.0008560107,0.0005420544],"domain_scores_gemma":[0.9961362,0.0001765758,0.002084307,0.001091902,0.0001868741,0.000324175],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004115982,0.0007167502,0.00417951,0.005030795,0.0003454811,0.00001228093,0.04467188,0.00004402969,0.000141182,0.9195631,0.02140737,0.003846466],"study_design_scores_gemma":[0.005230438,0.0009000744,0.004539505,0.005785871,0.0006959185,0.000206016,0.03549036,0.007564972,0.01329978,0.5862471,0.3366199,0.003420029],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.510582,0.0001081223,0.004136537,0.001063009,0.0007115846,0.0009235661,0.000633079,0.0001558352,0.4816862],"genre_scores_gemma":[0.9172795,0.0006084843,0.07400946,0.0001743523,0.0002236216,0.00003220352,0.0001196442,0.00008996575,0.007462711],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4742235,"threshold_uncertainty_score":0.9998723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01432043838322984,"score_gpt":0.2279908863628298,"score_spread":0.2136704479795999,"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."}}