{"id":"W6930355490","doi":"10.5064/f6buax58/e8o8bx","title":"Burke_EDI_NENA.NY001.ResearcherSurvey.2017.09.23.docx","year":2018,"lang":"en","type":"dataset","venue":"Syracuse University Qualitative Data Repository","topic":"Antiplatelet Therapy and Cardiovascular Diseases","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Identifier; Survey data collection; Plan (archaeology); Survey methodology; Identification (biology); Scale (ratio); Data collection","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00277845,0.0007229589,0.001305088,0.0005722464,0.0007189168,0.0001109792,0.00220801,0.0007750694,0.0005108461],"category_scores_gemma":[0.0008448446,0.0007214447,0.0006669604,0.0005899199,0.001518388,0.000736942,0.001522716,0.001326483,0.0009254702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004766986,"about_ca_system_score_gemma":0.001315149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001735489,"about_ca_topic_score_gemma":0.0001256666,"domain_scores_codex":[0.9917702,0.003559076,0.0005276541,0.00175109,0.001635189,0.0007568035],"domain_scores_gemma":[0.99189,0.0009639575,0.0004713323,0.005115769,0.0008253086,0.0007336988],"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":[0.001809129,0.0005017669,0.00003086996,0.0005676961,0.004256844,0.005366401,0.001143935,3.068505e-7,0.00006517309,0.00002504861,0.9860594,0.0001733842],"study_design_scores_gemma":[0.002558546,0.0004645066,0.0002832192,0.0004066519,0.002021836,0.0002639764,0.00803108,0.000007941809,0.00006933447,0.00001371288,0.9851298,0.0007493541],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001958529,0.00161612,0.000105401,0.0002195947,0.001091904,0.0007906213,0.9930017,0.0001535547,0.001062568],"genre_scores_gemma":[0.000166087,0.002171627,0.0003194666,0.0001661993,0.001473914,0.000002915591,0.9885819,0.00005831859,0.007059578],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.006887145,"threshold_uncertainty_score":0.9998524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1074942961298233,"score_gpt":0.3809779155716488,"score_spread":0.2734836194418255,"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."}}