{"id":"W3175704489","doi":"10.1002/9781119718017.ch3","title":"Bioprospecting of Natural Compounds for Industrial and Medical Applications","year":2021,"lang":"en","type":"other","venue":"","topic":"Medicinal Plants and Neuroprotection","field":"Medicine","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Bioprospecting; Biodiversity; Agriculture; Blueprint; Business; Biotechnology; Environmental planning; Biology; Ecology; Engineering; Geography","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":[0.0007952925,0.0005750292,0.0002903031,0.001195909,0.0005582428,0.0008881193,0.0003537604,0.0005944029,0.004785031],"category_scores_gemma":[0.0004098756,0.0001359787,0.0004880872,0.001190243,0.0003070836,0.000776768,0.0006695317,0.0007857673,0.002628118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004765913,"about_ca_system_score_gemma":0.0006688088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005172372,"about_ca_topic_score_gemma":0.001583341,"domain_scores_codex":[0.9996822,0.00005796584,0.00002476596,0.00004595931,0.0001575229,0.00003159294],"domain_scores_gemma":[0.9998486,0.00002942811,0.00002562896,0.00002315626,0.00005339435,0.00001980528],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000140288,0.0003100804,0.00057205,0.002433711,0.00005147269,0.001211445,0.0002905351,0.0007171129,0.6344154,0.03066336,0.007003174,0.3221912],"study_design_scores_gemma":[0.00002859527,0.0005653332,0.001329885,0.000489498,0.00008397255,0.001829781,0.0001944754,0.001165738,0.5474083,0.005700215,0.4411584,0.00004572013],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.2119548,0.1309632,0.1579408,0.003628096,0.001062042,0.001752919,0.004366562,0.00084183,0.4874898],"genre_scores_gemma":[0.5407919,0.1328469,0.161272,0.002758346,0.0002902743,0.0007437406,0.00555094,0.0002707492,0.1554751],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.004785031,"threshold_uncertainty_score":0.01600754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04189220675359134,"score_gpt":0.3163001933124925,"score_spread":0.2744079865589011,"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."}}