{"id":"W6969385451","doi":"10.5683/sp3/ebjki7","title":"Tininnimiutait — characterization of the nutritional value, safety, and taste of edible brown seaweeds and blue mussels for encouraging a sustainable, healthy, and tasty diet in Nunavik communities","year":2024,"lang":"fr","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Taste; Food consumption; Food intake; Food supply","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001212861,0.001845895,0.000975791,0.003507941,0.0013323,0.001702823,0.002200489,0.001591374,0.006969938],"category_scores_gemma":[0.004252636,0.0004251522,0.001482038,0.003117535,0.0006102718,0.0009103761,0.001849488,0.00107822,0.006819768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003417539,"about_ca_system_score_gemma":0.003196726,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.304397,"about_ca_topic_score_gemma":0.5109496,"domain_scores_codex":[0.9990475,0.0001307543,0.00009141512,0.0003212036,0.0002241997,0.0001848021],"domain_scores_gemma":[0.9982983,0.0003347462,0.0001865725,0.0003318479,0.0006619743,0.0001864195],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001197402,0.0003350972,0.14098,0.007366685,0.0006033668,0.0005047823,0.0007750576,0.003810831,0.007359277,0.001459361,0.7928799,0.04272832],"study_design_scores_gemma":[0.0002416704,0.0001532316,0.324218,0.001254499,0.000308491,0.0005124489,0.001335894,0.004570242,0.003688457,0.001503899,0.6620363,0.0001768459],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.009359585,0.001220195,0.0003355951,0.0002424913,0.00008463086,0.00004063283,0.9861137,0.0005654008,0.002037778],"genre_scores_gemma":[0.01054639,0.0002700706,0.001040417,0.0000688528,0.000008207484,0.00006867568,0.9866624,0.00005112667,0.00128375],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.695603,"threshold_uncertainty_score":0.6052505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01449399098362916,"score_gpt":0.2642890487043964,"score_spread":0.2497950577207672,"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."}}