{"id":"W6924647284","doi":"10.15468/dl.phmpuc","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Recycling and utilization of industrial and municipal waste in materials production","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Download; Alien; Range (aeronautics); State (computer science)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008522178,0.002165589,0.001465045,0.00477522,0.0009614227,0.002396172,0.002646689,0.002030457,0.1204029],"category_scores_gemma":[0.005335168,0.0008307671,0.001269994,0.008782268,0.0004403262,0.002011165,0.002329258,0.001844732,0.1838607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001524418,"about_ca_system_score_gemma":0.002238409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02121301,"about_ca_topic_score_gemma":0.03575773,"domain_scores_codex":[0.9990318,0.0001322644,0.0001273064,0.0003458105,0.0002040054,0.0001588487],"domain_scores_gemma":[0.9979814,0.0005636234,0.0001946127,0.0005214456,0.0005075654,0.0002313703],"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":[0.00003909162,0.0000149145,0.0005065557,0.0006001326,0.00001725705,0.0000189647,0.00002359405,0.0001802892,0.0001415665,0.0003912864,0.9963498,0.001716511],"study_design_scores_gemma":[0.0000842307,0.00001226203,0.002084058,0.0001934152,0.00001663746,0.00004402054,0.00007478727,0.0002243604,0.0002150898,0.0008458089,0.9961862,0.00001907666],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005870273,0.00003469759,0.00004509229,0.00003815101,0.00001387712,0.000006029761,0.9987425,0.0004342954,0.0006266508],"genre_scores_gemma":[0.0001722014,0.00003817819,0.0002006147,0.00004610632,0.000003628504,0.00003913448,0.9989778,0.0001151259,0.0004071828],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8795971,"threshold_uncertainty_score":0.4027879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02142263538518164,"score_gpt":0.2164710459151286,"score_spread":0.1950484105299469,"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."}}