{"id":"W1547543065","doi":"10.18433/j3nk5m","title":"Foresight Scanning: Future Directions of Clinical and Pharmaceutical Research","year":2009,"lang":"en","type":"article","venue":"Journal of Pharmacy & Pharmaceutical Sciences","topic":"Machine Learning in Healthcare","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada","funders":"","keywords":"Futures studies; Pharmaceutical sciences; Medicine; Business; Computer science; Pharmacology; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.03203283,0.00107251,0.0007822355,0.003746042,0.002609024,0.01170155,0.001656693,0.007594325,0.04288507],"category_scores_gemma":[0.03071112,0.0006197704,0.000898583,0.00410139,0.008098187,0.01760156,0.004630925,0.007003281,0.005539776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009125043,"about_ca_system_score_gemma":0.04009347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0218978,"about_ca_topic_score_gemma":0.03307174,"domain_scores_codex":[0.9917243,0.003798139,0.0003901289,0.0005391826,0.002334944,0.001213352],"domain_scores_gemma":[0.9430484,0.02623459,0.001895003,0.002180804,0.01469678,0.01194446],"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":[0.0001401446,0.00004863356,0.0007159379,0.0005400754,0.00001367623,0.0001109382,0.0004155767,0.0005521416,0.0003025031,0.09194241,0.6346118,0.2706062],"study_design_scores_gemma":[0.000043052,0.00005375392,0.0006964741,0.001498421,0.00001454359,0.0002141114,0.001523962,0.0007683213,0.0002403998,0.09413221,0.9007465,0.00006820205],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.0008539308,0.1605984,0.006011868,0.7909743,0.01177952,0.00004461458,0.0002317973,0.000346476,0.02915902],"genre_scores_gemma":[0.09398275,0.5642365,0.05073054,0.1602125,0.02725547,0.0002901247,0.001285943,0.000359284,0.101647],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.04288507,"threshold_uncertainty_score":0.1694078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2881828410681553,"score_gpt":0.5789362256241477,"score_spread":0.2907533845559924,"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."}}