{"id":"W6939562550","doi":"10.6084/m9.figshare.12838869","title":"Additional file 1 of Genetic determinants of cannabis use: a systematic review protocol","year":2020,"lang":"en","type":"article","venue":"Figshare","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Protocol (science); Identification (biology); Cannabis; Selection (genetic algorithm); MEDLINE","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01146054,0.001521221,0.003169091,0.008814899,0.001333629,0.00220454,0.001855449,0.001768255,0.6721604],"category_scores_gemma":[0.09071035,0.001448118,0.003675775,0.01064551,0.0006965272,0.003198847,0.001989632,0.001585935,0.02976593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004501772,"about_ca_system_score_gemma":0.01348023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01119414,"about_ca_topic_score_gemma":0.02303254,"domain_scores_codex":[0.9953521,0.001417856,0.001815946,0.0005971181,0.0005327039,0.0002842192],"domain_scores_gemma":[0.9260345,0.05817758,0.006581997,0.002171919,0.006288526,0.0007455759],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"systematic_review","study_design_scores_codex":[0.001466505,0.0001069078,0.001867769,0.4157737,0.00103851,0.0001193776,0.0005055715,0.000900159,0.000249729,0.003661018,0.5527021,0.02160871],"study_design_scores_gemma":[0.02932869,0.0007227297,0.03260456,0.2934404,0.006199149,0.0005968932,0.001645179,0.002107743,0.0009604073,0.02206123,0.6098387,0.0004944017],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005363899,0.0007438834,0.001221377,0.0006234672,0.0001056894,0.01708502,0.9779503,0.0002495055,0.001484365],"genre_scores_gemma":[0.01407726,0.003122428,0.02296806,0.002860465,0.0002226495,0.6458516,0.2965784,0.0005362774,0.01378295],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6721604,"threshold_uncertainty_score":0.4676234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03815631881061334,"score_gpt":0.249502838392976,"score_spread":0.2113465195823626,"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."}}