{"id":"W2082101935","doi":"10.1080/00103624.2012.744032","title":"<i>Ascophyllum nodosum</i>Extract and Its Organic Fractions Stimulate<i>Rhizobium</i>Root Nodulation and Growth of<i>Medicago sativa</i>(Alfalfa)","year":2013,"lang":"en","type":"article","venue":"Communications in Soil Science and Plant Analysis","topic":"Plant Growth Enhancement Techniques","field":"Agricultural and Biological Sciences","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nova Scotia Department of Agriculture; Agriculture and Agri-Food Canada; McGill University; Acadian Seaplants (Canada); Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Atlantic Canada Opportunities Agency","keywords":"Ascophyllum; Chloroform; Shoot; Medicago sativa; Dry weight; Root nodule; Rhizobium; Horticulture; Botany; Chemistry; Biology; Dry matter; Nitrogen; Agronomy; Nitrogen fixation; Inoculation; Algae; Chromatography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008397842,0.000138993,0.0002717215,0.0002067109,0.0004948194,0.0001172886,0.0005664927,0.00008299544,0.0000833608],"category_scores_gemma":[0.0002445334,0.00007345764,0.00003498998,0.002655056,0.0005158262,0.0007194393,0.0003360392,0.0001819787,0.0000053675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002871683,"about_ca_system_score_gemma":0.00002654785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002045205,"about_ca_topic_score_gemma":0.006145424,"domain_scores_codex":[0.9986422,0.0001107199,0.0003566487,0.0003346241,0.0003253311,0.0002304766],"domain_scores_gemma":[0.9986153,0.0006238609,0.0001871044,0.0002229143,0.000230541,0.0001202648],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000006884245,0.0001310574,0.4828091,0.000013921,0.00005789272,6.656691e-7,0.0003550159,0.000004421834,0.5042392,0.0007482477,0.0001617552,0.01147185],"study_design_scores_gemma":[0.0001097175,0.00006733226,0.9699945,0.00004673165,0.0001340764,0.000007877984,0.0002139373,0.02022472,0.00772532,0.001015596,0.0002433372,0.0002167824],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963269,0.0006919663,0.00005481598,0.002072906,0.00001473348,0.0002282746,0.00006995597,0.00004050783,0.000499924],"genre_scores_gemma":[0.9967335,0.002522009,0.0004434319,0.000103468,0.00001268652,0.00003062379,0.0001323452,0.000001032292,0.00002086225],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4965139,"threshold_uncertainty_score":0.3805801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0244516122344276,"score_gpt":0.2540658803984619,"score_spread":0.2296142681640343,"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."}}