{"id":"W4387860428","doi":"10.1002/pra2.912","title":"Triangulation of Information about Cannabis Consumption during Pregnancy and Lactation amidst a Shifting Policy Environment","year":2023,"lang":"en","type":"article","venue":"Proceedings of the Association for Information Science and Technology","topic":"Community Health and Development","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Triangulation; Heuristics; Credibility; Emic and etic; Psychology; Thematic analysis; Cannabis; Narrative; Social psychology; Developmental psychology; Computer science; Qualitative research; Sociology; Geography; Political science; Social science; Psychiatry; Cartography","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":[0.05337255,0.0003318846,0.0007136947,0.004865831,0.009259742,0.004580449,0.00164919,0.001186998,0.001704165],"category_scores_gemma":[0.1288535,0.0007860156,0.0006153724,0.004712461,0.007203797,0.004291329,0.009017986,0.00191856,0.000186784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006927305,"about_ca_system_score_gemma":0.01125532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02315894,"about_ca_topic_score_gemma":0.03174248,"domain_scores_codex":[0.919567,0.0654851,0.004050654,0.001645525,0.007277773,0.001974068],"domain_scores_gemma":[0.8498682,0.1200213,0.01106999,0.007674565,0.01005947,0.001306438],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001180684,0.00002416333,0.02319796,0.0002447479,0.00002663026,0.0008398336,0.9489434,0.00009540292,0.0007733045,0.001728467,0.000304353,0.0237036],"study_design_scores_gemma":[0.0000122438,0.00009277608,0.01880559,0.000833532,0.00003826532,0.0004460826,0.966109,0.0004250263,0.001185448,0.003362996,0.008645951,0.0000430708],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9732524,0.0007206103,0.009508841,0.005186955,0.00006216831,0.0004538268,0.000198712,0.0000252274,0.0105913],"genre_scores_gemma":[0.9947733,0.000449431,0.0036666,0.0002100335,0.00001615972,0.0001770833,0.00005947147,0.000009914899,0.0006380312],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05337255,"threshold_uncertainty_score":0.2822644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02430400103871083,"score_gpt":0.3439631020787572,"score_spread":0.3196591010400464,"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."}}