{"id":"W4385778316","doi":"10.2196/46678","title":"Optimizing Digital Tools for the Field of Substance Use and Substance Use Disorders: Backcasting Exercise","year":2023,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Justice Programme; Directorate-General for Justice; Directorate-General for Justice and Consumers; European Commission","keywords":"Interoperability; Backcasting; Best practice; Knowledge management; Computer science; Political science; World Wide Web","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":[0.07487352,0.001432662,0.0009392594,0.005806508,0.005718728,0.01307998,0.002979083,0.003185282,0.01053453],"category_scores_gemma":[0.08499391,0.0008202771,0.001876923,0.00467618,0.008496295,0.01479219,0.01533372,0.005340738,0.001575726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008963536,"about_ca_system_score_gemma":0.01478152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002411056,"about_ca_topic_score_gemma":0.004112266,"domain_scores_codex":[0.9493098,0.04051852,0.002318757,0.001821017,0.004420956,0.001610912],"domain_scores_gemma":[0.888589,0.08484477,0.003343622,0.01280386,0.008327357,0.002091469],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003096015,0.0009905228,0.003951216,0.003971842,0.00007331009,0.0004692984,0.1883039,0.006005267,0.003797026,0.1905009,0.008831478,0.5927956],"study_design_scores_gemma":[0.0002875147,0.001202687,0.004223618,0.007610796,0.0002065965,0.000425087,0.2339318,0.01218827,0.009394595,0.293905,0.4364364,0.0001875984],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1600311,0.002852105,0.653247,0.03078148,0.001527108,0.01172922,0.000933741,0.001299586,0.1375986],"genre_scores_gemma":[0.3463984,0.002315243,0.6339053,0.001270971,0.0001724451,0.004928083,0.0004740584,0.0003325196,0.01020299],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07487352,"threshold_uncertainty_score":0.3959737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2264870812626197,"score_gpt":0.4145994914290463,"score_spread":0.1881124101664265,"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."}}