{"id":"W6961061808","doi":"10.1371/journal.pone.0299005.s006","title":"Dataset creation plan.","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Plant pathogens and resistance mechanisms","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Odds; Logistic regression; Context (archaeology); Health care; Odds ratio; Digital health; Medical record; Primary care; Patient experience","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005773523,0.001475752,0.001770243,0.00407281,0.001498887,0.004127077,0.00393882,0.00251173,0.6363555],"category_scores_gemma":[0.02692541,0.001174783,0.002048475,0.005783536,0.0006220499,0.003203605,0.004158247,0.00242647,0.3670335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002039224,"about_ca_system_score_gemma":0.007754323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01786903,"about_ca_topic_score_gemma":0.03508852,"domain_scores_codex":[0.9977511,0.0004874724,0.0003047239,0.0006704002,0.0004661334,0.0003202485],"domain_scores_gemma":[0.9908834,0.003307185,0.0004859836,0.00178319,0.002359815,0.00118037],"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":[0.0001970227,0.00002480641,0.0006792498,0.001303381,0.0000345705,0.00003749408,0.00009640225,0.0001892183,0.0001437928,0.001894391,0.9818568,0.01354293],"study_design_scores_gemma":[0.0003903425,0.00003462697,0.001505507,0.000676423,0.00005661709,0.00005306645,0.0001360393,0.0005441783,0.0003089486,0.006110469,0.9901403,0.00004347487],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0001776597,0.00008341493,0.001582116,0.000456159,0.0002309629,0.0003905946,0.9845175,0.003540963,0.009020768],"genre_scores_gemma":[0.001969202,0.0002919502,0.01619131,0.0009841543,0.0001152186,0.005311259,0.9564518,0.003492048,0.01519303],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6363555,"threshold_uncertainty_score":0.5186948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04770195464224283,"score_gpt":0.2366028114216667,"score_spread":0.1889008567794238,"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."}}