{"id":"W6960956701","doi":"10.1371/journal.pone.0235977.s008","title":"S2 Fig -","year":2020,"lang":"en","type":"article","venue":"Figshare","topic":"Soil and Environmental Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Waist; Panel data; Index (typography); Circumference; Body mass index; Social status","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":[0.002476739,0.002613294,0.002301427,0.005542824,0.00456609,0.004846249,0.004686151,0.002452652,0.9158056],"category_scores_gemma":[0.01733744,0.002211521,0.003075994,0.006945347,0.001037495,0.004262108,0.002563104,0.003152946,0.4943364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00225126,"about_ca_system_score_gemma":0.005981036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03139355,"about_ca_topic_score_gemma":0.0511553,"domain_scores_codex":[0.9983291,0.000193427,0.000130764,0.0004720152,0.0005279367,0.0003467164],"domain_scores_gemma":[0.9891501,0.00534973,0.0006568158,0.001031918,0.002886926,0.0009245487],"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":[0.0001806662,0.00008932978,0.001496578,0.001633582,0.00005281421,0.0001272796,0.0001298643,0.000462214,0.0005128807,0.001827859,0.9882271,0.005259813],"study_design_scores_gemma":[0.001468655,0.0001177249,0.01407847,0.00165243,0.00009646894,0.0004472793,0.0007818554,0.001128205,0.0006611558,0.006260742,0.9731547,0.0001521387],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.0003012324,0.00006258491,0.0007711669,0.0003382876,0.0006226406,0.0002190392,0.9904267,0.001194387,0.006063899],"genre_scores_gemma":[0.004191634,0.0002298785,0.007795741,0.001354286,0.0002966279,0.001233881,0.9601298,0.002468526,0.0222996],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08419442,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08475605014260619,"score_gpt":0.1871716038561809,"score_spread":0.1024155537135747,"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."}}