{"id":"W4309990539","doi":"10.1002/ecy.3923","title":"<scp>RecruitNet</scp>: A global database of plant recruitment networks","year":2022,"lang":"en","type":"article","venue":"Ecology","topic":"Competitive and Knowledge Intelligence","field":"Business, Management and Accounting","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Agencia Estatal de Investigación; European Regional Development Fund; LifeWatch – Niclas Öberg Foundation","keywords":"Ecology; Geography; Database; Environmental resource management; Biology; Computer science; Environmental 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":[0.001250134,0.002151032,0.001320619,0.006805811,0.000817916,0.00202061,0.002656441,0.001899585,0.02648783],"category_scores_gemma":[0.007908698,0.0009148765,0.0009849825,0.01132231,0.0005083164,0.002680292,0.002815992,0.001690731,0.02374846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00108197,"about_ca_system_score_gemma":0.002331589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01791209,"about_ca_topic_score_gemma":0.02189246,"domain_scores_codex":[0.9989209,0.0001334251,0.0001982915,0.0002727609,0.0003435239,0.0001311089],"domain_scores_gemma":[0.9959532,0.001249182,0.0006492925,0.000840113,0.0006652493,0.0006430193],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003834885,0.00007943486,0.008935331,0.003537506,0.0001459404,0.0003974261,0.0003574672,0.003847121,0.00323789,0.004682946,0.9528413,0.02155411],"study_design_scores_gemma":[0.0004110106,0.00007187411,0.02280492,0.0004152194,0.00007824421,0.0003361026,0.0002027525,0.009436282,0.002415959,0.005772805,0.9579355,0.0001192879],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002515038,0.0002158585,0.001295383,0.00009875296,0.00002306769,0.00005611571,0.9860871,0.007142472,0.002566121],"genre_scores_gemma":[0.003088663,0.0001472613,0.00216582,0.00005181402,0.000009141751,0.0001344944,0.9934911,0.0004903945,0.0004212888],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02648783,"threshold_uncertainty_score":0.08861059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0524343690180151,"score_gpt":0.2740747515589036,"score_spread":0.2216403825408885,"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."}}