{"id":"W6961051710","doi":"10.1371/journal.pone.0289718.g001","title":"Canadian Longitudinal Study on Aging participant flowchart.","year":2023,"lang":"en","type":"other","venue":"Figshare","topic":"Plant pathogens and resistance mechanisms","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Longitudinal study; Longitudinal data; Statistical analysis; Data collection; Ageing","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":[0.002338405,0.0008381711,0.0009971105,0.00298049,0.003225592,0.0009876221,0.001399667,0.001080439,0.2355872],"category_scores_gemma":[0.008999277,0.000752504,0.0009596664,0.004540395,0.000287483,0.0009601831,0.0007594632,0.001454128,0.03002568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004399902,"about_ca_system_score_gemma":0.01509779,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7633466,"about_ca_topic_score_gemma":0.8087078,"domain_scores_codex":[0.9991969,0.0001384213,0.0001229983,0.0001749115,0.0001732553,0.0001933861],"domain_scores_gemma":[0.9956754,0.0007462766,0.0002446094,0.0003267194,0.002464838,0.0005421424],"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":[0.000314942,0.0001424998,0.01278227,0.0007505414,0.00003748293,0.00003942164,0.0002463613,0.0001559678,0.00009750672,0.001423987,0.9589787,0.02503035],"study_design_scores_gemma":[0.002566778,0.0003457133,0.283838,0.003722692,0.000319634,0.00038397,0.001666842,0.001249857,0.0004543178,0.005501021,0.6996977,0.0002534653],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.004696414,0.0008891877,0.001834238,0.001230648,0.0002999033,0.004711521,0.9490516,0.0005597104,0.03672679],"genre_scores_gemma":[0.06642253,0.005079911,0.01587449,0.00322693,0.0002779605,0.05131596,0.7225638,0.0005369353,0.1347015],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2366534,"threshold_uncertainty_score":0.7881176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.166367092829766,"score_gpt":0.2813835064641586,"score_spread":0.1150164136343926,"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."}}