{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001077407,0.00009523592,0.0003160635,0.0001018745,0.00002285716,0.000003983433,0.00003118093,0.0002589186,0.001440849],"category_scores_gemma":[0.0001365037,0.00006880928,0.00004147164,0.00008736287,0.00006561656,0.000003794491,0.00001991385,0.000271349,8.818162e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000901261,"about_ca_system_score_gemma":0.00007305029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001527739,"about_ca_topic_score_gemma":0.00005474198,"domain_scores_codex":[0.9993152,0.000006268651,0.0001713887,0.000191596,0.0002318146,0.00008370861],"domain_scores_gemma":[0.9995979,0.00006343344,0.0001034465,0.0001134903,0.00003477842,0.00008691551],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005088904,0.0004363641,0.002225651,0.004278286,0.0006771252,0.00007246755,0.00006093268,1.746018e-8,0.0207085,0.008461588,0.7973626,0.1652075],"study_design_scores_gemma":[0.002620415,0.0002525897,0.0001586985,0.001308684,0.0001488155,0.0004075115,0.0000641463,0.0001019356,0.001657723,0.00005399557,0.9931002,0.0001252471],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001557595,0.004669759,0.003944918,0.002173793,0.001294551,0.004109302,0.0000648846,0.000197925,0.9819873],"genre_scores_gemma":[0.03144475,0.0004577491,0.002013554,0.0004914812,0.004416028,0.0001660717,0.0003483244,0.000205837,0.9604562],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1957376,"threshold_uncertainty_score":0.999472,"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."}}