{"id":"W6913265115","doi":"10.5683/sp3/j7jcg9","title":"High vulnerability of rhodolith bed frameworks and underlying sediment to ongoing ocean climate change","year":2024,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"WSP (Canada); Memorial University of Newfoundland","funders":"","keywords":"Vulnerability (computing); Climate change; Sediment; Raw data; Effects of global warming; Ocean observations; Global change","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"],"consensus_categories":[],"category_scores_codex":[0.002029542,0.0008031013,0.001244252,0.0006536942,0.0001687675,0.0002211177,0.0006044753,0.001098995,0.00008778538],"category_scores_gemma":[0.0004472712,0.0007600132,0.0001892192,0.0006618929,0.0001982718,0.0001812226,0.001025603,0.001741241,0.0002680362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005166548,"about_ca_system_score_gemma":0.0001027423,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.08788263,"about_ca_topic_score_gemma":0.01991277,"domain_scores_codex":[0.9955028,0.0003889751,0.0009385741,0.001315082,0.0009189917,0.0009356209],"domain_scores_gemma":[0.9965432,0.000448138,0.0004536958,0.001907283,0.0001791703,0.0004685423],"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":[0.0001309244,0.0001254245,0.00009891989,0.002122158,0.0001999709,0.00005738244,0.0005871471,0.00001647831,0.0000165259,0.0002914752,0.9955257,0.0008278668],"study_design_scores_gemma":[0.0004730176,0.0003171923,0.003503009,0.003106971,0.0008164196,0.00001816044,0.000254298,0.00006064339,0.0001156633,0.001482107,0.9888605,0.0009920573],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002298155,0.0005526404,0.00001050692,0.0004923418,0.000432067,0.001473531,0.9944419,0.0002438918,0.00005497939],"genre_scores_gemma":[0.002105244,0.0003297909,0.00102949,0.0006237867,0.0005154117,0.0001434406,0.9950231,0.0002269233,0.00000285381],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06796986,"threshold_uncertainty_score":0.9994851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06551534601823295,"score_gpt":0.3411753023530488,"score_spread":0.2756599563348159,"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."}}