{"id":"W4237900674","doi":"10.3410/f.717961510.793476868","title":"Faculty Opinions recommendation of Detecting causality in complex ecosystems.","year":2013,"lang":"en","type":"dataset","venue":"Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Causality (physics); Ecosystem; Psychology; Data science; Computer science; Ecology; Biology; Physics","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":[0.00219529,0.002835927,0.001536239,0.003913771,0.000859303,0.00329408,0.003715842,0.00311012,0.07440149],"category_scores_gemma":[0.01515158,0.000901406,0.002088371,0.004713904,0.0004982808,0.001760105,0.002485406,0.001883136,0.05135204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001777016,"about_ca_system_score_gemma":0.003965307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02806605,"about_ca_topic_score_gemma":0.08332528,"domain_scores_codex":[0.9986136,0.0002905195,0.0001516637,0.0004092882,0.0003649092,0.0001700417],"domain_scores_gemma":[0.9949799,0.001869342,0.0004357972,0.0012133,0.0008245884,0.0006770561],"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":[0.000062067,0.00002895565,0.00207969,0.0005589881,0.00007463371,0.00002219793,0.00001185501,0.0004213101,0.00008767136,0.0004297239,0.9932783,0.002944593],"study_design_scores_gemma":[0.0008004656,0.00004392908,0.01182862,0.0005228156,0.0001736699,0.0001604819,0.00007622837,0.004599303,0.0008021067,0.005159434,0.9757749,0.00005809278],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003854914,0.0001493494,0.0002756535,0.000278507,0.00006343997,0.00002128007,0.996612,0.001088548,0.001125726],"genre_scores_gemma":[0.001332141,0.0001153374,0.001018173,0.0001508566,0.0000218156,0.00006423718,0.9961157,0.0001291705,0.001052705],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07440149,"threshold_uncertainty_score":0.2488978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05540010324707364,"score_gpt":0.3734819539427088,"score_spread":0.3180818506956352,"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."}}