{"id":"W4414724154","doi":"10.1007/978-981-95-0289-9_50","title":"Generating Design Guidelines for Alternative Medication Management Tools from Medical Cannabis Patients","year":2025,"lang":"en","type":"book-chapter","venue":"Springer series in design and innovation","topic":"Cannabis and Cannabinoid Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Cannabis; Medical cannabis; Chronic pain; MEDLINE; Effects of cannabis; Alternative medicine; Health professionals","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":[0.007052093,0.002196605,0.0007499562,0.002626385,0.001004635,0.005045242,0.002250911,0.002756858,0.02228653],"category_scores_gemma":[0.02885406,0.001164254,0.001528913,0.0009340032,0.001018928,0.003166078,0.002808808,0.002121232,0.008439121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001278486,"about_ca_system_score_gemma":0.002521036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001756704,"about_ca_topic_score_gemma":0.004600364,"domain_scores_codex":[0.9941042,0.002345009,0.0005786644,0.0003362003,0.002385723,0.0002501156],"domain_scores_gemma":[0.9829286,0.01134552,0.0006597131,0.001245806,0.003573975,0.0002464252],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001948705,0.0003366765,0.002490045,0.002078819,0.0000966025,0.001744787,0.00458065,0.038966,0.0121219,0.1509192,0.09496983,0.6915006],"study_design_scores_gemma":[0.000190582,0.0002617238,0.00108072,0.002826944,0.0001855684,0.001533303,0.002327255,0.1803402,0.02328554,0.1731073,0.6146882,0.0001726856],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005698686,0.000794554,0.9384013,0.002408701,0.0002692949,0.001252625,0.0008765854,0.006766951,0.0435312],"genre_scores_gemma":[0.03083849,0.0008373618,0.9449745,0.000591896,0.00006354103,0.001101943,0.001525879,0.001516991,0.01854942],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02228653,"threshold_uncertainty_score":0.07455587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0847901803385646,"score_gpt":0.3459876507518742,"score_spread":0.2611974704133095,"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."}}