{"id":"W1896918087","doi":"10.1111/j.1360-0443.2010.02971.x","title":"REPLY TO THE COMMENTARIES","year":2010,"lang":"en","type":"letter","venue":"Addiction","topic":"Psychedelics and Drug Studies","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs","funders":"","keywords":"Harm; Argument (complex analysis); Set (abstract data type); Population; Cannabis; Process (computing); Point (geometry); Addiction; Control (management); Psychology; Medicine; Positive economics; Sociology; Social psychology; Psychiatry; Computer science; Artificial intelligence; Mathematics; Economics; Environmental health","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":[0.02215003,0.00222736,0.002460235,0.002742852,0.009452353,0.009857947,0.006557617,0.05195889,0.0301649],"category_scores_gemma":[0.1674205,0.001188727,0.002982233,0.002830761,0.007354151,0.008019076,0.007698444,0.06776211,0.02226827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01453121,"about_ca_system_score_gemma":0.01265367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01412643,"about_ca_topic_score_gemma":0.007122922,"domain_scores_codex":[0.9750518,0.006631426,0.002689295,0.003065597,0.008324388,0.004237445],"domain_scores_gemma":[0.9151781,0.03909487,0.005408404,0.003518712,0.03393686,0.002863088],"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":[0.00002143569,0.000005877777,0.00009482617,0.00006127397,0.000007647754,0.0001701271,0.0004865329,0.0000220681,0.00006705099,0.002049691,0.995519,0.001494414],"study_design_scores_gemma":[0.0000218639,0.00001652218,0.000538691,0.0004227839,0.0000219482,0.0001742404,0.002123889,0.0001662201,0.0002863198,0.002922298,0.9932237,0.00008152124],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0003531513,0.0006456715,0.0004045086,0.8601348,0.1331138,0.00007887417,0.0003723199,0.0001582641,0.004738681],"genre_scores_gemma":[0.004922037,0.0005286103,0.0003455427,0.9503456,0.02903756,0.0002508255,0.0001397952,0.0001415749,0.01428838],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.05195889,"threshold_uncertainty_score":0.1171419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02936906952246992,"score_gpt":0.3126278285771246,"score_spread":0.2832587590546546,"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."}}