{"id":"W6941809489","doi":"10.1371/journal.pone.0046159.g006","title":"Regulatory impact factors (RIF).","year":2015,"lang":"en","type":"other","venue":"Figshare","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Notice; Relevance (law); Quarter (Canadian coin); Transcription (linguistics); Plot (graphics)","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":[0.0006632933,0.001456927,0.0006547119,0.001697012,0.0009580184,0.001140009,0.0007065049,0.0007267264,0.1264788],"category_scores_gemma":[0.001724665,0.000488567,0.0007639006,0.001713615,0.0004690036,0.0008393672,0.001064658,0.001646952,0.04680225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009064569,"about_ca_system_score_gemma":0.0006143946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002915744,"about_ca_topic_score_gemma":0.006199699,"domain_scores_codex":[0.9988956,0.00008486996,0.00004325656,0.000462417,0.0003333671,0.0001803678],"domain_scores_gemma":[0.9990575,0.0002298212,0.000213998,0.000143763,0.0001566968,0.0001981955],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002266144,0.0004675555,0.04128998,0.00319239,0.0002746956,0.0005762549,0.0007781908,0.001670278,0.4293447,0.03193653,0.2312247,0.2569786],"study_design_scores_gemma":[0.0002008621,0.0004197447,0.2262108,0.0003491297,0.000253976,0.001297032,0.0007514976,0.002166473,0.1220541,0.008737897,0.6374245,0.0001340639],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.213893,0.009521293,0.0388104,0.001416953,0.00095601,0.0004788133,0.3914578,0.01689752,0.3265682],"genre_scores_gemma":[0.5456006,0.001877605,0.05014288,0.001374132,0.0001813426,0.0006097498,0.2645245,0.003521302,0.132168],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1264788,"threshold_uncertainty_score":0.4231138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03723100484784096,"score_gpt":0.2452407087201166,"score_spread":0.2080097038722757,"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."}}