{"id":"W3140299880","doi":"10.17076/eb1383","title":"Algal Extracts as Plant Growth Biostimulants","year":2021,"lang":"en","type":"article","venue":"Proceedings of the Karelian Research Centre of the Russian Academy of Sciences","topic":"Food Industry and Aquatic Biology","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Tasmania; European Commission; University of Cambridge; York University; U.S. Department of Agriculture","keywords":"Cutting; Rhizosphere; Shoot; Germination; Abiotic stress; Plant growth; Abiotic component; Agriculture; Nutrient; Biology; Agronomy; Botany; Biotechnology; Ecology; Bacteria","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001830076,0.000135203,0.0002662065,0.00004064114,0.0004783982,0.00004583884,0.00223173,0.0002211051,0.0002011149],"category_scores_gemma":[0.001231691,0.00004021055,0.0001725136,0.001867672,0.002212732,0.0001820864,0.0007535469,0.0005569851,0.000009463755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001842059,"about_ca_system_score_gemma":0.00007954212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001468203,"about_ca_topic_score_gemma":0.000009907944,"domain_scores_codex":[0.9974027,0.0001100925,0.0004140778,0.0003737162,0.001154596,0.0005448077],"domain_scores_gemma":[0.9989164,0.000413217,0.0003719853,0.00004117543,0.0001350576,0.0001221648],"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":[0.00007692954,0.0002259692,0.04491048,0.0001149641,0.00003548003,6.112828e-7,0.0003424115,0.000002275364,0.8729535,0.0739291,0.004082701,0.003325541],"study_design_scores_gemma":[0.0001307363,0.0001953165,0.1180362,0.00055985,0.00001134649,0.00002202572,0.001642579,0.00005188135,0.8557575,0.02144132,0.002044549,0.0001066208],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.897299,0.0002732768,8.338565e-9,0.09585346,0.0000744149,0.0002132936,0.00006839207,0.000007748959,0.006210382],"genre_scores_gemma":[0.9988414,0.0001579095,0.00007335332,0.0001547469,0.00009660739,0.000002054821,9.152216e-7,0.000001048516,0.0006719835],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1015424,"threshold_uncertainty_score":0.8152902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08206682650124045,"score_gpt":0.3135225878755736,"score_spread":0.2314557613743332,"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."}}