{"id":"W4379053068","doi":"10.22374/jclrs.v2isp1.26","title":"Introduction","year":2018,"lang":"en","type":"article","venue":"Journal of Contact lens Research and Science","topic":"Qualitative Comparative Analysis Research","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.02475862,0.00004801728,0.0001553624,0.0008877393,0.001725966,0.0003842452,0.0005838787,0.00002651005,0.0008363877],"category_scores_gemma":[0.007749307,0.00003591241,0.00003626906,0.002347113,0.006570939,0.001449949,0.0000920949,0.0003986182,0.0001133139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002293426,"about_ca_system_score_gemma":0.001624773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002253136,"about_ca_topic_score_gemma":0.0003602351,"domain_scores_codex":[0.9955176,0.0009304521,0.0002483698,0.0001803461,0.00260106,0.0005222204],"domain_scores_gemma":[0.9913388,0.0006011077,0.0001116791,0.0001322993,0.00749348,0.0003225627],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000337068,0.0001750805,0.00641149,0.000008002197,0.00004942578,0.00002262372,0.04467006,7.03531e-7,0.3508016,0.5216448,0.06020373,0.01567546],"study_design_scores_gemma":[0.0004437539,0.003275569,0.04484649,0.00003843283,0.000005677204,0.0000168207,0.02793495,0.0001577187,0.02009495,0.02344068,0.8796061,0.0001389203],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.921499,0.0002972163,0.0008611669,0.01828774,0.000231132,0.0001083355,5.939596e-7,0.000004687965,0.05871009],"genre_scores_gemma":[0.9947801,0.000386015,0.0002892657,0.00003738493,0.001896502,8.623407e-7,5.152313e-8,0.000002226937,0.002607608],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8194023,"threshold_uncertainty_score":0.9995736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2686541953700886,"score_gpt":0.5595379449599485,"score_spread":0.2908837495898599,"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."}}