{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003583546,0.0001307254,0.0002219796,0.0001002692,0.0001927386,0.00002514651,0.0003695193,0.00003769312,0.001886722],"category_scores_gemma":[0.0001400281,0.0001361231,0.00007226114,0.0004334821,0.00006484455,0.0001468842,0.0009060673,0.0001654133,0.0001973478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008691892,"about_ca_system_score_gemma":0.00003976839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000167655,"about_ca_topic_score_gemma":0.000924825,"domain_scores_codex":[0.9989365,0.00003822694,0.0002689475,0.0002815649,0.0001442537,0.0003305005],"domain_scores_gemma":[0.9992931,0.0001846119,0.0001948016,0.0002356468,0.00007788954,0.00001387214],"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":[0.000115028,0.001149003,0.3315094,0.0001864749,0.0001820729,0.0003360391,0.0001548867,0.004218985,0.0001559416,0.2722814,0.376899,0.01281177],"study_design_scores_gemma":[0.0004322793,0.0001116629,0.02849822,0.00001636702,0.00004732222,0.00001997273,0.0004847996,0.01164226,0.00004340755,0.002295122,0.9563186,0.00008996781],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8035873,0.001339481,0.00219037,0.0004780242,0.004907303,0.001589505,0.0003073319,0.0001941838,0.1854066],"genre_scores_gemma":[0.9959679,0.00003731578,0.00005279153,0.00157228,0.0007510799,0.0002767661,0.0002756672,0.00001357043,0.001052612],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5794196,"threshold_uncertainty_score":0.9990257,"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."}}