{"id":"W4415665061","doi":"10.33424/futurum628","title":"Iceberg hunting: how well can we predict the distribution of icebergs?","year":2025,"lang":"","type":"article","venue":"","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Alliance de recherche numérique du Canada","keywords":"Iceberg; Distribution (mathematics); Term (time); Field (mathematics); Tracking (education)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.00230785,0.0009208153,0.001087778,0.001596983,0.0006949443,0.003079382,0.001556324,0.001193178,0.002551797],"category_scores_gemma":[0.01412162,0.0003534733,0.0006155376,0.002222419,0.001152267,0.006583622,0.001028219,0.001431679,0.001131276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00107229,"about_ca_system_score_gemma":0.001720381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08042774,"about_ca_topic_score_gemma":0.07545172,"domain_scores_codex":[0.9995344,0.0001536724,0.00003510723,0.0001307942,0.00005933655,0.00008668242],"domain_scores_gemma":[0.9941868,0.002331464,0.001187098,0.0005517102,0.001172442,0.0005705497],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009432356,0.00009584687,0.8666844,0.0001789972,0.0005584653,0.00007421702,0.0001939884,0.06881469,0.0004566251,0.003059055,0.01094223,0.04884721],"study_design_scores_gemma":[0.00006385772,0.00009678896,0.5900847,0.0006446966,0.0002957359,0.0001105104,0.002644483,0.3307023,0.0009324065,0.05684882,0.01744071,0.0001349924],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.858162,0.01591335,0.05035051,0.02485524,0.0009379088,0.00008446478,0.02296186,0.000708655,0.02602609],"genre_scores_gemma":[0.9829905,0.0036237,0.006146696,0.0008722073,0.0002767296,0.00002507463,0.005475033,0.00008270601,0.0005072377],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08042774,"threshold_uncertainty_score":0.1599192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01482539053459223,"score_gpt":0.2097169103848479,"score_spread":0.1948915198502557,"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."}}