{"id":"W6926701563","doi":"10.25549/impa-m68408","title":"Elderly woman and man standing outdoors, Canada, ca.1920-1940","year":2012,"lang":"en","type":"dataset","venue":"University of Southern California Digital Library","topic":"Diatoms and Algae Research","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Elderly people; Care of the elderly; Elderly care; Falling (accident)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003982049,0.002020482,0.001384467,0.003976794,0.001664993,0.002201931,0.002494914,0.001314705,0.02194215],"category_scores_gemma":[0.003560103,0.0005694132,0.0009591664,0.01000216,0.0005252666,0.0007919793,0.001284035,0.001389216,0.01786398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006582602,"about_ca_system_score_gemma":0.01234043,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9134711,"about_ca_topic_score_gemma":0.9646567,"domain_scores_codex":[0.9993979,0.00002690319,0.00006616914,0.00017822,0.0001790208,0.0001518235],"domain_scores_gemma":[0.9979128,0.0001996529,0.0002276346,0.0001943311,0.001115915,0.0003495392],"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":[0.00009060935,0.00001856361,0.007873257,0.0004710968,0.00004271214,0.00006357908,0.00005364102,0.0001399321,0.00004494501,0.0001454719,0.9877129,0.003343271],"study_design_scores_gemma":[0.0002023395,0.00001866724,0.1828198,0.001173456,0.0001280529,0.0002757307,0.0007241071,0.0005607521,0.0003004545,0.0003993132,0.8133154,0.00008181345],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004551978,0.0002184318,0.00001357913,0.00005668579,0.00002068865,0.000005426394,0.9986948,0.00004201673,0.0004931865],"genre_scores_gemma":[0.001695304,0.0002752371,0.0000711184,0.00003609113,0.00001011569,0.00002817409,0.9966034,0.00001334462,0.001267135],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0865289,"threshold_uncertainty_score":0.1740769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00821992346264215,"score_gpt":0.1785699454598505,"score_spread":0.1703500219972084,"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."}}