{"id":"W4210301715","doi":"10.3410/f.1029935.346660","title":"Faculty Opinions recommendation of Ocean temperature oscillations enable reappearance of blue mussels Mytilus edulis in Svalbard after a 1000 year absence.","year":2006,"lang":"en","type":"dataset","venue":"Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature","topic":"Aquatic Invertebrate Ecology and Behavior","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Fisheries and Oceans Canada; Bedford Institute of Oceanography","funders":"","keywords":"Mytilus; Blue mussel; Oceanography; Fishery; Environmental science; Geography; Biology; Geology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00122454,0.0004607481,0.0009005861,0.000264552,0.0001683323,0.0000501992,0.001187724,0.0008941351,0.004153748],"category_scores_gemma":[0.001375443,0.0003201794,0.0004119624,0.002293056,0.0007076081,0.0004238579,0.0004418739,0.0009858088,0.0001994032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002018696,"about_ca_system_score_gemma":0.0002939227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000393697,"about_ca_topic_score_gemma":0.0001817973,"domain_scores_codex":[0.9956595,0.000456172,0.001665901,0.000684114,0.001138417,0.0003958594],"domain_scores_gemma":[0.9963972,0.0001049473,0.001254845,0.001171689,0.000904147,0.0001671907],"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":[0.00001674163,0.0004719093,0.0005213667,0.001341981,0.00003084916,6.699545e-7,0.0002491809,0.000004704607,0.0000110274,0.00003844794,0.9971169,0.000196196],"study_design_scores_gemma":[0.0005000564,0.00009005448,0.02946417,0.003976832,0.0001044479,0.00001274156,0.00005158774,0.0000123804,0.0000536946,0.0000294558,0.9654071,0.0002974849],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001555061,0.0002432709,0.000005515719,0.04055339,0.0005307936,0.001316219,0.9569945,0.00001824152,0.0001825303],"genre_scores_gemma":[0.0008365541,0.0001240253,0.0005892791,0.001492243,0.0001104481,0.0001488632,0.9945731,0.00002182829,0.002103627],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03906115,"threshold_uncertainty_score":0.999925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01315188307164695,"score_gpt":0.2931046765532856,"score_spread":0.2799527934816387,"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."}}