{"id":"W7111194251","doi":"10.1371/journal.pone.0334756.s001","title":"Minimal Data Set Definition.","year":2025,"lang":"","type":"article","venue":"Figshare","topic":"Image Retrieval and Classification Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Inference; Representation (politics); Mixture model; Pattern recognition (psychology); Set (abstract data type); Gaussian; Similarity (geometry); Graph; Key (lock)","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":[],"consensus_categories":[],"category_scores_codex":[0.004104482,0.001615862,0.001920552,0.005288024,0.001942677,0.006153835,0.004719616,0.00187548,0.03712841],"category_scores_gemma":[0.01694032,0.0007194689,0.002856674,0.005653219,0.001441746,0.00777217,0.005982406,0.003463934,0.01800316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001703436,"about_ca_system_score_gemma":0.002745369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001956179,"about_ca_topic_score_gemma":0.002147419,"domain_scores_codex":[0.9923063,0.00139739,0.0015876,0.002062188,0.002255714,0.0003908768],"domain_scores_gemma":[0.9938552,0.001920795,0.0003938795,0.002081192,0.001458917,0.0002898978],"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":[0.0004750781,0.0002807059,0.003728236,0.001932605,0.0002827124,0.0004996632,0.0006130912,0.01384316,0.002606332,0.4837085,0.1632348,0.3287951],"study_design_scores_gemma":[0.00006706502,0.0001566237,0.001576996,0.0006101727,0.00009127918,0.001335922,0.0005929635,0.05444511,0.003984707,0.4881869,0.4488631,0.00008912644],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.01037846,0.003926918,0.8102213,0.004087525,0.0013872,0.001837219,0.1007554,0.006264584,0.06114143],"genre_scores_gemma":[0.0909595,0.002010366,0.6639095,0.002125372,0.0007432264,0.00424028,0.2106955,0.00134651,0.02396976],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03712841,"threshold_uncertainty_score":0.124207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2095507505672338,"score_gpt":0.3451337315990653,"score_spread":0.1355829810318315,"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."}}