{"id":"W3134858849","doi":"10.17504/protocols.io.zbgf2jw","title":"Semi-quantitative measure of roots colonization by arbuscular mycorrhizal fungi using standard light microscopy v1","year":2019,"lang":"en","type":"preprint","venue":"","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Colonization; Arbuscular mycorrhizal fungi; Arbuscular mycorrhizal; Measure (data warehouse); Microscopy; Botany; Mycorrhiza; Biology; Mycorrhizal fungi; Symbiosis; Horticulture; Optics; Microbiology; Physics; Bacteria; Inoculation; Computer science; Paleontology; Data mining","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":[0.001967998,0.001706508,0.001122696,0.005295722,0.001088837,0.001529468,0.001212477,0.0009490706,0.02340598],"category_scores_gemma":[0.001342129,0.001022325,0.000870971,0.002133051,0.001311654,0.00146436,0.001417308,0.002254684,0.008594683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000767454,"about_ca_system_score_gemma":0.000579739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008183842,"about_ca_topic_score_gemma":0.001807408,"domain_scores_codex":[0.9973725,0.0003187844,0.0002751641,0.0008121023,0.000965829,0.0002557243],"domain_scores_gemma":[0.9961714,0.001091195,0.000538915,0.0006249354,0.001295258,0.0002783476],"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":[0.0002116063,0.0001126712,0.001112069,0.0005607192,0.00006677659,0.00008653408,0.0002002491,0.0001475346,0.9871192,0.0009163801,0.0007080203,0.008758335],"study_design_scores_gemma":[0.00009799937,0.00087032,0.04124293,0.0002091634,0.0002718788,0.001684248,0.0004717843,0.008636031,0.923049,0.002991752,0.0203047,0.0001701897],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2826582,0.005199051,0.6531235,0.0002486635,0.0006572303,0.001756278,0.01685982,0.009598777,0.02989845],"genre_scores_gemma":[0.2398381,0.002005823,0.7007726,0.000163776,0.0001983153,0.00400197,0.01427036,0.003493026,0.035256],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02340598,"threshold_uncertainty_score":0.07830089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01768722271185777,"score_gpt":0.256108639489756,"score_spread":0.2384214167778983,"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."}}