{"id":"W2002926102","doi":"10.1086/519855","title":"Testing the Mechanisms by Which Source‐Sink Dynamics Alter Competitive Outcomes in a Model System","year":2007,"lang":"en","type":"article","venue":"The American Naturalist","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Biological dispersal; Ecology; Competition (biology); Competitor analysis; Microcosm; Sink (geography); Biology; Population; Competition model; Economics; Demography; Geography; Microeconomics; Profit (economics)","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":[],"consensus_categories":[],"category_scores_codex":[0.0007860829,0.0001453795,0.0002169918,0.00002370724,0.0004055572,0.00002174966,0.0003745021,0.0000309859,0.000009960446],"category_scores_gemma":[0.0001452257,0.00008082915,0.00003683555,0.0004952638,0.0006260486,0.00006338055,0.0002138599,0.000310743,0.00006404808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003641285,"about_ca_system_score_gemma":0.000006600167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001960849,"about_ca_topic_score_gemma":0.01390873,"domain_scores_codex":[0.998907,0.0001222903,0.0002313213,0.0002197429,0.0001991103,0.00032057],"domain_scores_gemma":[0.9986563,0.0008452011,0.0002202503,0.0002256801,0.00002086099,0.00003173079],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001632616,0.0002242577,0.7624133,0.00002968129,0.0001972399,0.00002366526,0.008662022,0.1070191,0.005498724,0.1079166,0.001508166,0.006343937],"study_design_scores_gemma":[0.0001934728,0.00004121201,0.3139625,0.00001324988,0.00002407036,0.00001543183,0.008250281,0.6759345,0.00003869237,0.001292315,0.0000335072,0.0002007682],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9630127,0.00002300892,0.0186542,0.004874277,0.00009478429,0.0002928207,0.00002169081,0.00006884381,0.01295766],"genre_scores_gemma":[0.9952702,0.000002699921,0.001760064,0.002155711,0.000008418493,0.00001547649,0.000007043551,0.00001229312,0.0007681152],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5689154,"threshold_uncertainty_score":0.7761398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008578767667109488,"score_gpt":0.2405903706329693,"score_spread":0.2320116029658598,"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."}}