{"id":"W6931447568","doi":"10.5281/zenodo.5775491","title":"ignasiarranz/Arranz.et.al.Ecology","year":2021,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Distribution (mathematics); Fish <Actinopterygii>; Natural (archaeology); Composition (language)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003736162,0.0004009096,0.0003176402,0.002762689,0.001135832,0.001129296,0.0007695298,0.0003356446,0.04700293],"category_scores_gemma":[0.0007242368,0.0003073677,0.0002930511,0.003072164,0.0004661706,0.0002813989,0.0007808435,0.0002821798,0.01621828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00593974,"about_ca_system_score_gemma":0.005587277,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9373089,"about_ca_topic_score_gemma":0.9815742,"domain_scores_codex":[0.9996948,0.00001380406,0.00001573775,0.00005737271,0.0001529504,0.00006541244],"domain_scores_gemma":[0.9994986,0.00003104646,0.00006291283,0.00004320646,0.0002703035,0.00009383188],"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":[0.0004540547,0.00007422637,0.2905125,0.00117465,0.0001047803,0.0004172069,0.001673453,0.0006790867,0.003712712,0.003032965,0.5514385,0.1467258],"study_design_scores_gemma":[0.00004405045,0.00001580771,0.6439608,0.000184002,0.00004823236,0.0001633303,0.0005720798,0.0003511856,0.0008379409,0.0002500835,0.3535532,0.00001926228],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.1203429,0.004169141,0.001653815,0.002382908,0.0001664315,0.000322823,0.5570018,0.0008886973,0.3130714],"genre_scores_gemma":[0.2279495,0.004448619,0.005931251,0.0004808074,0.00009627252,0.0003467141,0.352818,0.0006342955,0.4072946],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9373089,"threshold_uncertainty_score":0.1572405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03918808585803109,"score_gpt":0.2726052158224914,"score_spread":0.2334171299644603,"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."}}