{"id":"W6965047421","doi":"10.3389/fmicb.2018.01188.s006","title":"Image_5_Canola Root–Associated Microbiomes in the Canadian Prairies.TIFF","year":2018,"lang":"en","type":"other","venue":"Figshare","topic":"Forest Ecology and Biodiversity Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Rhizosphere; Canola; Microbiome; Crop; Soil microbiology; Bulk soil; Nutrient","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":[0.0001953157,0.0004492949,0.0003397785,0.002021669,0.001651228,0.001402321,0.0007615072,0.0005596496,0.06933808],"category_scores_gemma":[0.0004155029,0.0003232651,0.0003875446,0.002547247,0.0003245005,0.0005298692,0.0009657324,0.0004907479,0.01100606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003371203,"about_ca_system_score_gemma":0.004500103,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8461997,"about_ca_topic_score_gemma":0.9414874,"domain_scores_codex":[0.999803,0.00000556495,0.000003394319,0.00004215503,0.00007635008,0.00006959926],"domain_scores_gemma":[0.9996791,0.00002906979,0.00001972999,0.00002394089,0.000187759,0.00006028016],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0005153148,0.00006809737,0.07245403,0.001503887,0.000150081,0.0006063276,0.002340797,0.002225292,0.05096464,0.003899253,0.7356246,0.1296476],"study_design_scores_gemma":[0.00006631302,0.00003428731,0.3619381,0.0003925111,0.0000843654,0.0004607342,0.002989449,0.004100755,0.006960761,0.001320053,0.6215231,0.0001295294],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.1023367,0.001809574,0.005262819,0.002381311,0.0002506458,0.0001790634,0.7602181,0.008453777,0.1191081],"genre_scores_gemma":[0.3048826,0.003360706,0.04451677,0.001338023,0.00008819579,0.0002247065,0.5506913,0.003662745,0.09123491],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1538003,"threshold_uncertainty_score":0.3094121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02416365499166667,"score_gpt":0.2012911990443934,"score_spread":0.1771275440527267,"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."}}