{"id":"W3039970306","doi":"10.24908/iqurcp.14029","title":"Identifying the repellent genes in Cannabis (C. sativa) through CRISPR screening. The hidden use of Marijuana","year":2020,"lang":"en","type":"article","venue":"Inquiry Queen s Undergraduate Research Conference Proceedings","topic":"Insect Pest Control Strategies","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cannabis sativa; Meloidogyne incognita; Terra incognita; Biology; Cannabis; Gene; Pesticide; Biotechnology; Toxicology; Botany; Nematode; Agronomy; Genetics; Medicine; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002223044,0.000425362,0.0003538105,0.0004563633,0.0003288923,0.0003522295,0.0004058027,0.0004751219,0.001517652],"category_scores_gemma":[0.0002669277,0.000195358,0.0004516239,0.000271256,0.0003178159,0.0001731597,0.0004814324,0.0006767033,0.0005025362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005515434,"about_ca_system_score_gemma":0.0003696605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003966622,"about_ca_topic_score_gemma":0.008975727,"domain_scores_codex":[0.9997841,0.00001777225,0.00002201627,0.00004954153,0.00009307047,0.00003352896],"domain_scores_gemma":[0.9997891,0.00005432192,0.00006551193,0.00002568304,0.00003215816,0.00003325532],"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":[0.0000340653,0.00001209211,0.0001649181,0.00006704144,0.000004208291,0.00008017483,0.00001990985,0.0001110926,0.9978835,0.00009349952,0.000051143,0.001478387],"study_design_scores_gemma":[0.00002841747,0.0004335915,0.009106722,0.00003065098,0.00007178031,0.00077072,0.0001209504,0.00335529,0.9750177,0.000144561,0.01088198,0.00003769596],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9679881,0.001813248,0.01867826,0.0005570125,0.0001136558,0.0003559893,0.004150004,0.0007773259,0.005566421],"genre_scores_gemma":[0.9533562,0.001863325,0.02819386,0.0002476631,0.00001201471,0.0002199554,0.004491553,0.0001432066,0.01147215],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003966622,"threshold_uncertainty_score":0.007887065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2832723946453438,"score_gpt":0.3599483079430602,"score_spread":0.07667591329771639,"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."}}