{"id":"W4322492655","doi":"10.1021/acsagscitech.2c00217","title":"Growth Trials on Vegetables, Herbs, and Flowers Using Mealworm Frass, Chicken Manure, and Municipal Compost","year":2023,"lang":"en","type":"article","venue":"ACS Agricultural Science & Technology","topic":"Insect Utilization and Effects","field":"Agricultural and Biological Sciences","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Université de Sherbrooke; McGill University; Institut National de la Recherche Scientifique","funders":"National Research Council Canada; Mitacs; Institut national de la recherche scientifique","keywords":"Frass; Compost; Manure; Agronomy; Biomass (ecology); Biology; Fertilizer; Germination; Chicken manure; Horticulture; Botany","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001144581,0.0002316097,0.0003783763,0.0001564354,0.001021437,0.0001808902,0.0004701352,0.0002372649,0.00002170724],"category_scores_gemma":[0.0005339386,0.00008064509,0.00004534921,0.003848669,0.000777814,0.0003042249,0.0003376976,0.000236582,0.00002316288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005920072,"about_ca_system_score_gemma":0.00001317858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003111547,"about_ca_topic_score_gemma":0.0003901868,"domain_scores_codex":[0.9980674,0.00009841708,0.0002998344,0.0005632835,0.0003568599,0.0006142463],"domain_scores_gemma":[0.9992477,0.0002471591,0.000145507,0.00008671451,0.0001222627,0.0001506263],"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":[0.00002312311,0.00004076765,0.005621705,0.00001063293,0.00001335229,0.00001203389,0.0001606314,0.00003698967,0.9706573,0.009564207,0.0004273221,0.01343187],"study_design_scores_gemma":[0.0009133731,0.001254011,0.8766561,0.0001987244,0.00007037834,0.0002435476,0.004219754,0.002231062,0.1012724,0.004726021,0.007151249,0.001063345],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949597,0.000214591,7.831688e-7,0.003308765,0.0002270246,0.0003723779,0.00001720208,0.0003566747,0.0005428948],"genre_scores_gemma":[0.9991387,0.0003436391,0.00006848313,0.0002226653,0.00009779436,0.00001510464,0.00003199014,0.000001405246,0.00008022671],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8710344,"threshold_uncertainty_score":0.785617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04199635809230815,"score_gpt":0.2737894137467088,"score_spread":0.2317930556544007,"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."}}