{"id":"W2113978152","doi":"10.1101/002634","title":"mangal - making ecological network analysis simple","year":2014,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Rimouski; Dalhousie University","funders":"Université de Montréal; Santa Fe Institute","keywords":"Computer science; Process (computing); Simple (philosophy); Ecological network; Ecology; Ecological validity; Data science; Psychology; Biology","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":[0.007392359,0.0008921828,0.001107188,0.002441898,0.001389736,0.00542035,0.002660097,0.0007310922,0.01202097],"category_scores_gemma":[0.03702611,0.001300414,0.002110873,0.002322263,0.002127716,0.008122085,0.005983549,0.002837463,0.004899709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008419328,"about_ca_system_score_gemma":0.001701196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003196241,"about_ca_topic_score_gemma":0.006249309,"domain_scores_codex":[0.9959888,0.001556927,0.0003678471,0.001138694,0.0008102019,0.0001375347],"domain_scores_gemma":[0.9847692,0.006357892,0.0008079369,0.006476647,0.001163445,0.0004248028],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002938465,0.0001105644,0.01190222,0.0008313245,0.0005394723,0.0005222309,0.00244177,0.04526215,0.008807752,0.6783117,0.06295691,0.1880201],"study_design_scores_gemma":[0.00005936403,0.00003086699,0.002778913,0.0001764661,0.00009148884,0.000299274,0.0003271112,0.149621,0.003505188,0.6553665,0.1876762,0.00006753438],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.006520741,0.000185131,0.9768734,0.0006840752,0.0002061503,0.00008416452,0.002611693,0.007812929,0.005021717],"genre_scores_gemma":[0.1155373,0.0007303442,0.86487,0.0005224493,0.0002571369,0.0006700354,0.005072299,0.005396575,0.006943753],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.01202097,"threshold_uncertainty_score":0.04021418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02063356632285683,"score_gpt":0.2364708804960297,"score_spread":0.2158373141731728,"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."}}