{"id":"W1596423249","doi":"10.1126/science.1204498","title":"Productivity Is a Poor Predictor of Plant Species Richness","year":2011,"lang":"en","type":"article","venue":"Science","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Environment Research Council; National Science Foundation","keywords":"Species richness; Productivity; Ecology; Diversity (politics); Generality; Geography; Economic geography; Biology; Economics; Political science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003885652,0.0005753271,0.0009114397,0.001193599,0.0005846875,0.001234203,0.0005807099,0.0003632423,0.002729771],"category_scores_gemma":[0.0144621,0.0003489729,0.0006681707,0.001933819,0.0007448374,0.0008343252,0.0006475303,0.0005068188,0.00103038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002697385,"about_ca_system_score_gemma":0.0003838596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007969456,"about_ca_topic_score_gemma":0.01129777,"domain_scores_codex":[0.9982967,0.0006810346,0.0001138131,0.0005752071,0.0002327581,0.0001005945],"domain_scores_gemma":[0.9784583,0.01267316,0.004050716,0.001722127,0.002006526,0.001089027],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006239734,0.00001240839,0.9735734,0.0001064551,0.0007455236,0.00004970202,0.0001430281,0.0003075253,0.0002400832,0.0001451005,0.00107472,0.02353973],"study_design_scores_gemma":[0.000003961338,0.00005742417,0.9951519,0.00005012735,0.0001828002,0.00008972664,0.0002331302,0.0007208126,0.0001220531,0.0006637195,0.002713928,0.0000104518],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9541782,0.02697626,0.005709417,0.003192243,0.0004028926,0.00001305697,0.002788357,0.0001467528,0.006592735],"genre_scores_gemma":[0.9958554,0.002236205,0.0004603659,0.0002126897,0.0001463569,0.000004140597,0.0005521444,0.00001544164,0.0005172833],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007969456,"threshold_uncertainty_score":0.02054954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02041590106448007,"score_gpt":0.2138076842497872,"score_spread":0.1933917831853071,"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."}}