{"id":"W2775672417","doi":"10.11581/dtu:00000097","title":"Greenland seaweeds for human consumption","year":2020,"lang":"en","type":"article","venue":"DTU Data","topic":"Food Industry and Aquatic Biology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Consumption (sociology); Oceanography; Environmental science; Geography; Geology; Art","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":[0.0001744941,0.0002528206,0.0001749939,0.0006677245,0.0004464751,0.0007457798,0.0001385608,0.0002658752,0.03428682],"category_scores_gemma":[0.0002387085,0.00004957331,0.0002677061,0.0007737575,0.0001449537,0.0002795919,0.000743677,0.0002815311,0.008690089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003740311,"about_ca_system_score_gemma":0.0005327883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006947824,"about_ca_topic_score_gemma":0.01692548,"domain_scores_codex":[0.9999173,0.00001010567,0.000004383118,0.00001753339,0.00003311371,0.00001753332],"domain_scores_gemma":[0.9998933,0.0000102037,0.00002156138,0.00001411296,0.00004010035,0.00002075878],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004796801,0.0002345152,0.03288202,0.002081943,0.0001157524,0.00109258,0.001734212,0.0001522136,0.08665013,0.007064148,0.06524803,0.8022648],"study_design_scores_gemma":[0.00001791578,0.0002073523,0.1257886,0.0007047571,0.00006448695,0.000744165,0.002202424,0.0001096019,0.00805072,0.00276887,0.8593159,0.00002533453],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5686203,0.04108111,0.005225564,0.008439603,0.001155472,0.0002781747,0.02317979,0.0008962504,0.3511238],"genre_scores_gemma":[0.6606435,0.03043993,0.01011491,0.003342274,0.0002049059,0.0001286732,0.009248326,0.0002011739,0.2856764],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03428682,"threshold_uncertainty_score":0.1147009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4244901360103263,"score_gpt":0.3329526370919961,"score_spread":0.09153749891833018,"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."}}