{"id":"W4408438745","doi":"10.5194/egusphere-egu25-6110","title":"Icebergs, Genealogy and Jigsaw Puzzles","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Forensic and Genetic Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Jigsaw; Iceberg; Genealogy; Geography; History; Mathematics; Mathematics education; Meteorology; Sea ice","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":[0.0009776768,0.0002251292,0.0002856544,0.003060116,0.00165486,0.002928026,0.0007516877,0.0004317241,0.003100306],"category_scores_gemma":[0.007336055,0.0002352856,0.0001967956,0.003251125,0.004356304,0.003526358,0.001075924,0.0005791956,0.0003729613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002475605,"about_ca_system_score_gemma":0.002284408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1475468,"about_ca_topic_score_gemma":0.1378743,"domain_scores_codex":[0.9997489,0.00005769379,0.00002093031,0.00008199752,0.00006089478,0.00002955144],"domain_scores_gemma":[0.9987687,0.0005515979,0.0002259765,0.0001755701,0.0001705843,0.00010745],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00009675899,0.00002248902,0.1023875,0.000229068,0.00007425678,0.0005016362,0.008492499,0.04799162,0.0006044976,0.5804951,0.02362003,0.2354846],"study_design_scores_gemma":[0.00001077131,0.000018369,0.04873781,0.0002797379,0.00003635776,0.0005060604,0.005263049,0.03989416,0.0003010998,0.7483203,0.1565816,0.00005079507],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7047595,0.02100144,0.1606702,0.01579296,0.0004012552,0.0001405101,0.008486885,0.001000559,0.08774677],"genre_scores_gemma":[0.9234499,0.009137512,0.04746231,0.0007762937,0.0001323123,0.00007204705,0.005238107,0.0001591912,0.01357233],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1475468,"threshold_uncertainty_score":0.2933759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01293741673969155,"score_gpt":0.3045832947565628,"score_spread":0.2916458780168713,"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."}}