{"id":"W6940230214","doi":"10.6084/m9.figshare.c.6759502.v1","title":"Needs and expectations for artificial intelligence in emergency medicine according to Canadian physicians","year":2024,"lang":"en","type":"other","venue":"Figshare","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Ranking (information retrieval); Primary care; Affect (linguistics); Perception; Task (project management); MEDLINE; Needs assessment","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.005457631,0.0001934194,0.0002433461,0.001850503,0.003300507,0.003427859,0.001104454,0.0008824369,0.003489682],"category_scores_gemma":[0.03971748,0.0002819359,0.000435083,0.002401465,0.002313763,0.001072056,0.001754816,0.001325619,0.0003189773],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03476891,"about_ca_system_score_gemma":0.04719179,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9210321,"about_ca_topic_score_gemma":0.8979456,"domain_scores_codex":[0.9925201,0.001364866,0.0005005757,0.0004104554,0.003339374,0.001864636],"domain_scores_gemma":[0.9640915,0.005660247,0.004315995,0.000460995,0.0119344,0.01353683],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002313986,0.0001424441,0.8910381,0.000299572,0.00006061731,0.0005096441,0.05731471,0.0009024966,0.0004413548,0.004001639,0.01681811,0.02823986],"study_design_scores_gemma":[0.00003062646,0.00009639005,0.9044902,0.0003583014,0.00002053754,0.0003048949,0.07538251,0.00175429,0.0001459395,0.001010202,0.01631727,0.00008874518],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.944944,0.0009876757,0.0002958366,0.0299814,0.00006408204,0.00007225236,0.0009896788,0.00002383975,0.02264118],"genre_scores_gemma":[0.9974144,0.0004735718,0.0002688568,0.0009496123,0.00001429289,0.00001313942,0.0002138364,0.000004173252,0.0006481098],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9652311,"threshold_uncertainty_score":0.2522673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05363265294227636,"score_gpt":0.288548590138785,"score_spread":0.2349159371965086,"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."}}