{"id":"W6977501870","doi":"10.6084/m9.figshare.27928558","title":"Additional file 12 of The IMPACT Survey: the humanistic impact of osteogenesis imperfecta in adults","year":2024,"lang":"en","type":"dataset","venue":"Figshare","topic":"Analytic Number Theory Research","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Osteogenesis imperfecta; Disadvantage; Humanism; MEDLINE","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00164245,0.001639596,0.001903537,0.004229848,0.0009372815,0.002666065,0.002447532,0.002612788,0.4964143],"category_scores_gemma":[0.03147722,0.0009326506,0.001960024,0.007735085,0.000481507,0.001737526,0.002234066,0.001476875,0.1070073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001637907,"about_ca_system_score_gemma":0.003206364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03220971,"about_ca_topic_score_gemma":0.05230143,"domain_scores_codex":[0.9987451,0.0002221548,0.0002645768,0.0002924976,0.0002838663,0.0001918978],"domain_scores_gemma":[0.9835331,0.009666977,0.002007775,0.001485294,0.002488015,0.0008188756],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001527549,0.00004644203,0.003842572,0.002451999,0.00009306915,0.00002504929,0.000052019,0.0002678535,0.00002436652,0.0005063099,0.989769,0.002768498],"study_design_scores_gemma":[0.003610004,0.0001303024,0.06531554,0.004852627,0.0004261079,0.0002608877,0.000650574,0.0008263114,0.0002707189,0.007101744,0.9163902,0.0001651077],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007620407,0.00002597128,0.00002292508,0.00003164473,0.000006496585,0.00001540246,0.9995577,0.00003029333,0.0002334802],"genre_scores_gemma":[0.002256817,0.0001336887,0.0005107939,0.0001976173,0.0000278576,0.0008481359,0.9937375,0.0001252995,0.002162307],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4964143,"threshold_uncertainty_score":0.7183038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08000542797238312,"score_gpt":0.3738117554898289,"score_spread":0.2938063275174457,"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."}}