{"id":"W1986568358","doi":"10.1139/cjb-2012-0300","title":"Sea change under climate change: case studies in rare plant conservation from the dynamic San Francisco Estuary","year":2013,"lang":"en","type":"article","venue":"Botany","topic":"Coastal wetland ecosystem dynamics","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of California, Davis; California Department of Parks and Recreation; U.S. Fish and Wildlife Service; U.S. Army Corps of Engineers; San Francisco State University; Massachusetts Department of Fish and Game","keywords":"Biology; Biological dispersal; Metapopulation; Threatened species; Ecology; Habitat; Population; Climate change; Propagule","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0006506215,0.0003679259,0.0002050808,0.0007915217,0.003093489,0.0006616867,0.0007370316,0.0009216601,0.000824517],"category_scores_gemma":[0.00136744,0.0001463163,0.0002503404,0.0008381295,0.0009811948,0.0003370032,0.0007919042,0.0006716753,0.00005586979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002271191,"about_ca_system_score_gemma":0.001037538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1458524,"about_ca_topic_score_gemma":0.4372904,"domain_scores_codex":[0.9996884,0.0001139845,0.00001690465,0.00004344844,0.00003798653,0.00009929809],"domain_scores_gemma":[0.998763,0.0003226593,0.0003322618,0.00009299368,0.000153329,0.0003357129],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001983845,0.0007373281,0.9114506,0.0001445593,0.0001041076,0.03052507,0.02370969,0.001962,0.001741478,0.0005025263,0.00171382,0.02721041],"study_design_scores_gemma":[0.00003100856,0.0007563367,0.9247353,0.00009472967,0.00007494027,0.01063915,0.0524833,0.001738778,0.0006495249,0.0002340869,0.008523079,0.00003975943],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991284,0.00007336484,0.00005903605,0.0001038703,0.000002414331,0.00001229804,0.00002895398,0.000003137419,0.0005884496],"genre_scores_gemma":[0.9987628,0.0002308177,0.0003309749,0.00006283691,0.000007669205,0.00001713245,0.00006233584,0.000002582273,0.000522861],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1458524,"threshold_uncertainty_score":0.290007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04061402196270987,"score_gpt":0.2579743598598991,"score_spread":0.2173603378971893,"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."}}