{"id":"W2011372922","doi":"10.1007/s12080-015-0254-z","title":"Landmarking and strong Allee thresholds","year":2015,"lang":"en","type":"article","venue":"Theoretical Ecology","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; University of Waterloo","funders":"Fisheries and Oceans Canada","keywords":"Allee effect; Extinction (optical mineralogy); Population; Mating; Biology; Small population size; Ecology; Evolutionary biology; Habitat; Computer science; Demography","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0002011336,0.00006493247,0.000120457,0.000003140804,0.00007759453,0.00001581233,0.00007636298,0.00006124914,0.000299728],"category_scores_gemma":[0.00007031533,0.00002148163,0.00001741709,0.00003607713,0.0002829643,0.00002231145,0.000108727,0.00006505389,0.00003947394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006744479,"about_ca_system_score_gemma":0.000002454222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001068761,"about_ca_topic_score_gemma":0.000504514,"domain_scores_codex":[0.9994977,0.00004236813,0.00007314751,0.0001280076,0.00005762046,0.0002011152],"domain_scores_gemma":[0.9996435,0.0002173387,0.00001515828,0.000009049689,0.00001799105,0.0000969682],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00007518398,0.00002840413,0.1471636,0.00000118745,0.00001108648,0.00001393188,0.00005885383,2.752954e-7,0.003555686,0.842863,0.0007299691,0.005498902],"study_design_scores_gemma":[0.0004608637,0.001231342,0.5982084,0.000007834653,0.00002411003,0.00008011804,0.0007403254,0.0002279454,0.0002798341,0.3819155,0.01653374,0.0002899459],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9343638,0.0001172527,0.000001338091,0.0019872,0.0000363468,0.00004203217,0.000007167583,0.0000334914,0.06341135],"genre_scores_gemma":[0.9994463,0.00003311633,0.00002531124,0.0002599178,0.0001448257,0.000003630772,0.00000410123,3.250721e-7,0.00008245034],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4609474,"threshold_uncertainty_score":0.3281811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04766796074507401,"score_gpt":0.2243280763451957,"score_spread":0.1766601156001217,"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."}}