{"id":"W2261537921","doi":"10.1007/s12080-015-0281-9","title":"A theory for species co-occurrence in interaction networks","year":2015,"lang":"en","type":"article","venue":"Theoretical Ecology","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":138,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Rimouski","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Pairwise comparison; Co-occurrence; Inference; Context (archaeology); Ecology; Community; Interpretation (philosophy); Ecological network; Computer science; Biology; Ecosystem; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006217735,0.001201797,0.002286398,0.005241076,0.002914383,0.004157335,0.00489243,0.003439637,0.00881415],"category_scores_gemma":[0.03266016,0.001159182,0.002906188,0.006413006,0.007797536,0.01477746,0.003719103,0.004381735,0.0010582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002222865,"about_ca_system_score_gemma":0.001092804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002805979,"about_ca_topic_score_gemma":0.001597683,"domain_scores_codex":[0.9956546,0.002188385,0.0001877307,0.0009702476,0.0006596403,0.000339343],"domain_scores_gemma":[0.9632222,0.03151204,0.001332588,0.00200984,0.001180835,0.0007424944],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000009020242,0.00001278499,0.0007174781,0.00005846329,0.00003120139,0.00006178318,0.0003297399,0.008920784,0.0001318104,0.9823974,0.000981102,0.006348298],"study_design_scores_gemma":[0.000007961032,0.000008770316,0.0002331774,0.0000140565,0.00001741799,0.0001523877,0.0000785474,0.04292689,0.00003425638,0.955023,0.001494076,0.000009411724],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02073104,0.0009968659,0.9629757,0.00257413,0.0001431396,0.00004893815,0.0001689814,0.0001345358,0.01222654],"genre_scores_gemma":[0.7896932,0.002416487,0.193835,0.001114391,0.00121836,0.0008009372,0.0004078557,0.0001724013,0.01034137],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00881415,"threshold_uncertainty_score":0.03288293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06244570915497685,"score_gpt":0.2667621820663097,"score_spread":0.2043164729113328,"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."}}