{"id":"W2896760423","doi":"10.1038/d41586-018-07037-1","title":"What legal weed in Canada means for science","year":2018,"lang":"en","type":"article","venue":"Nature","topic":"Biological Control of Invasive Species","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"World Federation of Science Journalists","funders":"","keywords":"Weed; Weed science; Agroforestry; Political science; Agronomy; Environmental science; Biology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002133006,0.00008517614,0.0001159887,0.000009152584,0.0001738418,0.0001114545,0.0004445131,0.0002628145,0.0001655872],"category_scores_gemma":[0.0003724894,0.00002664233,0.00003440236,0.0004132979,0.0002223583,0.0003021687,0.00005387595,0.0004323573,0.000007162806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001747238,"about_ca_system_score_gemma":0.0001463852,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2859775,"about_ca_topic_score_gemma":0.9863906,"domain_scores_codex":[0.999064,0.00001581868,0.0001038759,0.0002659103,0.0002237689,0.0003266298],"domain_scores_gemma":[0.9994687,0.0001718033,0.00003717868,0.00004037773,0.0002108163,0.0000711696],"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":[0.0001130811,0.00002891856,0.004808913,0.000003235772,0.000005196163,0.000007952375,0.0000267978,9.999925e-7,0.8669703,0.008972359,0.01172137,0.1073409],"study_design_scores_gemma":[0.0002143014,0.0002838099,0.5249881,0.00002198103,0.000002446341,0.000003001466,0.0007876116,0.00007600868,0.0184474,0.0009334756,0.4540496,0.0001923386],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9801201,0.0004850615,5.23656e-7,0.01645879,0.0008895714,0.0002457601,0.00003482207,0.00001615693,0.001749174],"genre_scores_gemma":[0.9938232,0.000009765206,0.00008366394,0.005338936,0.0004660387,0.00001573906,0.00000894093,3.053841e-7,0.00025345],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8485229,"threshold_uncertainty_score":0.7187772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01391771302233073,"score_gpt":0.2264327800169913,"score_spread":0.2125150669946606,"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."}}