{"id":"W2270736126","doi":"10.12952/journal.elementa.000084","title":"What sea-ice biogeochemical modellers need from observers","year":2016,"lang":"en","type":"article","venue":"Elementa Science of the Anthropocene","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Fisheries and Oceans Canada; Fonds De La Recherche Scientifique - FNRS","keywords":"Biogeochemical cycle; Sea ice; Environmental science; Oceanography; Cryosphere; Earth science; Ecology; Geology; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02316852,0.001312936,0.001489118,0.001268714,0.001895612,0.01012458,0.003543887,0.00586849,0.01003129],"category_scores_gemma":[0.07072945,0.001202438,0.001290705,0.0009458524,0.004275015,0.02834856,0.007307764,0.007088451,0.00657002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002722399,"about_ca_system_score_gemma":0.00386883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01247364,"about_ca_topic_score_gemma":0.009135806,"domain_scores_codex":[0.9890335,0.005717359,0.001291353,0.001146301,0.002192606,0.0006188342],"domain_scores_gemma":[0.9568948,0.01097985,0.002218548,0.01024813,0.01614466,0.00351402],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005058468,0.0005358534,0.03524375,0.00176305,0.0002167669,0.0007010889,0.01585202,0.03905215,0.00658716,0.3742943,0.1931619,0.3320861],"study_design_scores_gemma":[0.0002831644,0.0002106773,0.007272435,0.002683897,0.0001566218,0.0003243234,0.01313761,0.08534034,0.002807482,0.4507247,0.4366159,0.0004428333],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0374912,0.004108747,0.4831689,0.3707798,0.005659981,0.0008068302,0.001673423,0.005311444,0.0909997],"genre_scores_gemma":[0.4362154,0.006826976,0.4515744,0.05773443,0.003225453,0.001748588,0.003166937,0.003758324,0.03574957],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02316852,"threshold_uncertainty_score":0.1225283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01643968169663364,"score_gpt":0.233139979014102,"score_spread":0.2167002973174683,"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."}}