{"id":"W6904789484","doi":"10.1371/journal.pone.0235977.s007","title":"S1 Fig -","year":2020,"lang":"en","type":"article","venue":"Figshare","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Respondent; Social network (sociolinguistics); Marital status; Social relation; Index (typography); Social engagement; 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":[0.002160027,0.002569498,0.001864677,0.006521087,0.003663322,0.004160849,0.004416988,0.00182346,0.9325532],"category_scores_gemma":[0.0336173,0.001788103,0.00259261,0.01012366,0.0007768032,0.004581537,0.002510173,0.002522655,0.3795513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002216954,"about_ca_system_score_gemma":0.006734555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05649677,"about_ca_topic_score_gemma":0.06903902,"domain_scores_codex":[0.9985383,0.0001961759,0.0001584855,0.0003769496,0.0003695315,0.0003606715],"domain_scores_gemma":[0.9795178,0.01229865,0.001286362,0.001294454,0.004518995,0.001083725],"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":[0.0001079416,0.00005700082,0.001814258,0.001759121,0.00003252842,0.00004891578,0.0001007551,0.0002641939,0.00004946596,0.000989356,0.9897794,0.004997062],"study_design_scores_gemma":[0.003317475,0.0002132251,0.0496729,0.008084918,0.0002021254,0.0008481636,0.0021154,0.00213258,0.0003203698,0.01189611,0.9209492,0.0002477097],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0002359333,0.00004526992,0.0002253111,0.0002399094,0.0001763946,0.0001891189,0.9953635,0.0004067702,0.003117864],"genre_scores_gemma":[0.007005787,0.0004011126,0.006209648,0.00156446,0.0003547414,0.002899345,0.9499481,0.001584487,0.03003233],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.06744677,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1593099574929615,"score_gpt":0.3738273093411875,"score_spread":0.2145173518482261,"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."}}