{"id":"W3007786516","doi":"10.1093/aobpla/plaa005","title":"Small spaces, big impacts: contributions of micro-environmental variation to population persistence under climate change","year":2020,"lang":"en","type":"review","venue":"AoB Plants","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"National Science Foundation","keywords":"Abiotic component; Ecology; Local adaptation; Biology; Environmental change; Trait; Population; Adaptation (eye); Climate change; Persistence (discontinuity); Phenotypic plasticity; Ecological stability; Biodiversity","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":["insufficient_payload"],"category_scores_codex":[0.0001656799,0.0003704867,0.000800611,0.00007785792,0.0001541036,0.00004860591,0.0003149096,0.0002568764,0.01366123],"category_scores_gemma":[0.00005146778,0.0003417034,0.0002554287,0.0003256015,0.00006933117,0.0001220186,0.0003146283,0.0001873859,0.003099397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001573414,"about_ca_system_score_gemma":0.00001632257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004188168,"about_ca_topic_score_gemma":0.0002573257,"domain_scores_codex":[0.9980547,0.0001137778,0.0005188338,0.0005128293,0.0003345223,0.000465318],"domain_scores_gemma":[0.9988703,0.00008411719,0.0004686621,0.0002977855,0.000005914771,0.0002732945],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000120532,0.000834294,0.00458689,0.004488086,0.0003880018,0.00008485753,0.001972341,0.00001469426,0.001273204,0.0005781585,0.01284961,0.9728093],"study_design_scores_gemma":[0.0002449539,0.0001025511,0.03168545,0.001413213,0.0002960852,0.00005648709,0.0004537943,0.000008716555,0.00001505522,0.000008477084,0.965221,0.0004941394],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.004685968,0.8828529,0.0001017445,0.0004999365,0.0007786598,0.003027576,0.1057226,0.0001378583,0.002192734],"genre_scores_gemma":[0.005979244,0.982165,0.00005981233,0.0002682285,0.0001142705,0.0001238681,0.01120866,0.00003412961,0.00004676339],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9723152,"threshold_uncertainty_score":0.9999035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1088823794990107,"score_gpt":0.2898562290122262,"score_spread":0.1809738495132155,"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."}}