{"id":"W6949612685","doi":"10.5281/zenodo.3790974","title":"Dinaraea angustula","year":2009,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Freshwater macroinvertebrate diversity and ecology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Canadian Forest Service","funders":"","keywords":"Habitat; Marsh; Plant litter; Litter; Wetland; Agriculture","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0001199816,0.001076525,0.0004248056,0.001904042,0.002583568,0.0007263207,0.0007413059,0.0003689177,0.0372244],"category_scores_gemma":[0.0003201978,0.0002768658,0.0001479465,0.0008907427,0.0007402703,0.000846903,0.0009246169,0.0005972605,0.01101024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009152218,"about_ca_system_score_gemma":0.0003532156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03048719,"about_ca_topic_score_gemma":0.0899416,"domain_scores_codex":[0.9998183,0.00001948752,0.00001241626,0.00008442146,0.00004046756,0.0000248971],"domain_scores_gemma":[0.9998841,0.00001356309,0.00003431062,0.00000835292,0.00004310811,0.00001644633],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005457112,0.0001552258,0.03814002,0.001450123,0.00009380167,0.002102826,0.003365971,0.0008101389,0.01706513,0.01838802,0.1257849,0.7920982],"study_design_scores_gemma":[0.00002706138,0.0001126008,0.1037209,0.0003648493,0.00006798496,0.002272825,0.001006494,0.0001610533,0.0008561714,0.001264954,0.8901074,0.00003757632],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07543818,0.01446838,0.002930137,0.0005059067,0.0009333694,0.000342924,0.006083762,0.0006221756,0.8986753],"genre_scores_gemma":[0.6979965,0.01094363,0.01005706,0.001464864,0.0005390944,0.0004381586,0.009826571,0.0001894414,0.2685446],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0372244,"threshold_uncertainty_score":0.1245281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01972049874689144,"score_gpt":0.2029366184447927,"score_spread":0.1832161196979012,"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."}}