{"id":"W3133082253","doi":"10.22541/au.161383346.69785032/v1","title":"Evaluating restoration trajectories using DNA metabarcoding of invertebrates and their associated plant communities","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bentley (Canada)","funders":"Australian Research Council; Government of Western Australia; Australian Government","keywords":"Invertebrate; Environmental DNA; Ecology; Restoration ecology; Ecosystem; Biology; Biodiversity","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":[0.001002677,0.0003634012,0.0003371904,0.002069401,0.0007554888,0.0006985292,0.0004342408,0.0004428707,0.0006747572],"category_scores_gemma":[0.002139184,0.0002306655,0.0002983908,0.001262797,0.0004120232,0.0006717626,0.0008170838,0.0004563933,0.0003375461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005605734,"about_ca_system_score_gemma":0.000567802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01602776,"about_ca_topic_score_gemma":0.05678903,"domain_scores_codex":[0.9994385,0.0001149444,0.00004602243,0.0001869845,0.0001468968,0.00006664199],"domain_scores_gemma":[0.9978788,0.0002666527,0.0008538047,0.000110919,0.0007094605,0.0001804318],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001189319,0.00005783293,0.8862768,0.0002252805,0.000110202,0.0002737101,0.002796754,0.0008514274,0.06246107,0.0002563352,0.0003905386,0.04618114],"study_design_scores_gemma":[0.000002399762,0.0001117205,0.9869369,0.00005162016,0.00004809941,0.0001909637,0.001345388,0.002413251,0.005443175,0.0002508972,0.003188246,0.00001749035],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9860281,0.0005612873,0.01063201,0.00009060423,0.00001248223,0.00006773562,0.001047242,0.00006545562,0.001495193],"genre_scores_gemma":[0.9612654,0.0005570041,0.03444238,0.0001410924,0.000009131152,0.0001080802,0.001624412,0.00002686179,0.001825498],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01602776,"threshold_uncertainty_score":0.03186893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1217123086583984,"score_gpt":0.2864017123396812,"score_spread":0.1646894036812828,"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."}}