{"id":"W7128874395","doi":"","title":"InnoRegio InnoPlanta - cooperative project: \"Use of arbuscular mycorrhizal fungi for yield increase and quality assurance in conventional and ecological cultivation of herbal and medicinal plants in Saxony-Anhalt\" - project part 2: ,Analytical investigations to prove the influence of arbuscular mycorrhizal fungi by the example of marjoram, thyme, caraway and St. John's wort'","year":2006,"lang":"de","type":"other","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicinal plants; Yield (engineering); Arbuscular mycorrhizal fungi; Quality assurance; Quality (philosophy); Crop yield; Mycorrhizal fungi","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":[0.002797811,0.0008171829,0.0003554971,0.001825726,0.0008892823,0.001104792,0.001083285,0.0005295888,0.0298266],"category_scores_gemma":[0.0009027545,0.0002103735,0.0004265347,0.001890741,0.0003895647,0.000452673,0.001553482,0.0005714742,0.004395856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001625147,"about_ca_system_score_gemma":0.003137379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02868238,"about_ca_topic_score_gemma":0.06412875,"domain_scores_codex":[0.9990597,0.0003065749,0.00003446841,0.0001197164,0.00032597,0.0001535765],"domain_scores_gemma":[0.999016,0.0003064069,0.00009075953,0.0001040224,0.0002718877,0.0002108177],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.007283942,0.002667145,0.02011127,0.003193309,0.0001899944,0.0009761954,0.002086109,0.001601111,0.0780559,0.01089888,0.2061798,0.6667563],"study_design_scores_gemma":[0.0009660162,0.00252161,0.1923939,0.0003640671,0.0003231379,0.0005061759,0.001071575,0.001403671,0.07520202,0.001913608,0.7232848,0.00004931226],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2384762,0.02809107,0.02509079,0.008839839,0.00101618,0.003166571,0.1176168,0.001955561,0.5757471],"genre_scores_gemma":[0.2849113,0.01241043,0.0494022,0.0007186301,0.0002033105,0.001281427,0.08640981,0.0007181933,0.5639448],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0298266,"threshold_uncertainty_score":0.09977996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0690497309231768,"score_gpt":0.3194644858310113,"score_spread":0.2504147549078345,"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."}}