{"id":"W3081263293","doi":"10.1101/2020.08.27.266916","title":"REAP supplemental fertilizer improves greenhouse crop yield","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Geochemistry and Elemental Analysis","field":"Earth and Planetary Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Micronutrient; Fertilizer; Nutrient; Greenhouse; Yield (engineering); Agronomy; Crop; Environmental science; Crop yield; Hydroponics; Chemistry; Biology; Materials science","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":[0.0001207356,0.0004383484,0.000513505,0.0002999119,0.0001716923,0.0002982233,0.0004239528,0.000382722,0.002196527],"category_scores_gemma":[0.0001935246,0.0001570449,0.0002537189,0.0001392396,0.0001348723,0.0003000019,0.0003102521,0.0006421109,0.0003153855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004547733,"about_ca_system_score_gemma":0.0003043631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001865914,"about_ca_topic_score_gemma":0.00261595,"domain_scores_codex":[0.9998241,0.00002031717,0.0000177285,0.00006555992,0.00004977348,0.0000224938],"domain_scores_gemma":[0.9997237,0.00005934565,0.00007149541,0.00002550342,0.00005402122,0.00006593367],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002288156,0.00007221043,0.0002751622,0.00006306642,0.000007559073,0.0000412483,0.000009607318,0.00008968933,0.9971972,0.00001380203,0.00004277057,0.001958919],"study_design_scores_gemma":[0.00006753615,0.00372663,0.01904437,0.00002679663,0.0000590083,0.0001106091,0.00008820101,0.001577922,0.9717513,0.00005253544,0.003474586,0.00002067431],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995352,0.0009379174,0.0008946807,0.00008947873,0.00004028079,0.00005217148,0.0005025307,0.0002193468,0.001911633],"genre_scores_gemma":[0.9921941,0.000543546,0.002111737,0.00008737428,0.000008969843,0.0000669111,0.0007292528,0.00004586407,0.004212254],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002196527,"threshold_uncertainty_score":0.00734812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01721670703120141,"score_gpt":0.200494967198008,"score_spread":0.1832782601668066,"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."}}