{"id":"W1661185694","doi":"10.1080/00103620009370573","title":"Data presentation, interpretation, and communication","year":2000,"lang":"en","type":"article","venue":"Communications in Soil Science and Plant Analysis","topic":"Turfgrass Adaptation and Management","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; Nova Scotia Department of Agriculture","funders":"","keywords":"Interpretation (philosophy); Presentation (obstetrics); Computer science; Medicine","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":[0.007606359,0.004147602,0.007856472,0.009908153,0.001806634,0.007090017,0.004456179,0.00172555,0.3143466],"category_scores_gemma":[0.04710482,0.001115073,0.002641848,0.01410702,0.002989206,0.001472128,0.004041111,0.00271162,0.1310192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00279598,"about_ca_system_score_gemma":0.01107519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008437181,"about_ca_topic_score_gemma":0.008001113,"domain_scores_codex":[0.9889758,0.001237696,0.002550036,0.002034434,0.004200465,0.001001562],"domain_scores_gemma":[0.966825,0.005012006,0.002891085,0.008205978,0.01493684,0.002129131],"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":[0.005656039,0.0005903693,0.007430452,0.02162212,0.0009983188,0.002928966,0.002244981,0.002910133,0.0136083,0.009000529,0.6256601,0.3073497],"study_design_scores_gemma":[0.001095734,0.0007488084,0.0359197,0.007855626,0.0007567355,0.001028355,0.002044939,0.004245608,0.01074192,0.01817019,0.9170069,0.0003854866],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.01884145,0.001318457,0.03252531,0.004452306,0.04081528,0.01563261,0.7677475,0.008185643,0.1104814],"genre_scores_gemma":[0.1866811,0.008056151,0.1861918,0.008247823,0.009234141,0.06971492,0.2685647,0.01551255,0.2477968],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.3143466,"threshold_uncertainty_score":0.9780013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04108290489098065,"score_gpt":0.3078940435767777,"score_spread":0.266811138685797,"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."}}