{"id":"W2980480731","doi":"10.1111/ecog.04310","title":"EcologicalNetworks.jl: analysing ecological networks of species interactions","year":2019,"lang":"en","type":"article","venue":"Ecography","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; McGill University","funders":"Vlaamse regering; Fonds Wetenschappelijk Onderzoek","keywords":"Ecological network; Computer science; Ecology; Property (philosophy); Measure (data warehouse); Data science; Biology; Data mining; Ecosystem; Epistemology","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":[0.002845115,0.001802412,0.0009156979,0.002917058,0.0006879485,0.002766068,0.002762245,0.0009518435,0.03108296],"category_scores_gemma":[0.01026052,0.001379966,0.002532199,0.00201768,0.0007786642,0.004519338,0.003357199,0.002734664,0.009310338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007172067,"about_ca_system_score_gemma":0.001722684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003792362,"about_ca_topic_score_gemma":0.005321029,"domain_scores_codex":[0.9991611,0.0002293736,0.0001008218,0.0001599325,0.0002685447,0.00008024595],"domain_scores_gemma":[0.9966273,0.002364977,0.0002971466,0.0003391117,0.0002359238,0.0001355387],"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":[0.0003790687,0.0002425224,0.009097166,0.003532135,0.0006994435,0.0006765698,0.002599979,0.06898494,0.01000915,0.2142992,0.4283715,0.2611084],"study_design_scores_gemma":[0.0002337133,0.00007054325,0.004556717,0.0005079903,0.000153875,0.0007694305,0.0002780347,0.3148324,0.009304658,0.1989912,0.4701296,0.0001717168],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.004318282,0.0002635806,0.8543926,0.0004367164,0.00012562,0.000246982,0.02720958,0.1062163,0.006790414],"genre_scores_gemma":[0.03378233,0.0008291195,0.8831769,0.0002868454,0.00008239188,0.001424053,0.03570249,0.03738153,0.007334379],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.03108296,"threshold_uncertainty_score":0.1039829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03018672528501749,"score_gpt":0.198826812400697,"score_spread":0.1686400871156795,"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."}}