{"id":"W6924814416","doi":"10.15468/dl.spzttu","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Nanocomposite Films for Food Packaging","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Download; Range (aeronautics); Set (abstract data type)","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":[0.0008837664,0.002446924,0.001632685,0.00558895,0.000986268,0.002519438,0.002747353,0.002184918,0.1169027],"category_scores_gemma":[0.004953315,0.000842048,0.001403915,0.009706437,0.0004731874,0.002191118,0.00263519,0.001787342,0.1875987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001621012,"about_ca_system_score_gemma":0.002281419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02358502,"about_ca_topic_score_gemma":0.03964949,"domain_scores_codex":[0.9989812,0.0001315526,0.0001404648,0.0003523741,0.0002206487,0.0001736764],"domain_scores_gemma":[0.9980066,0.0005180429,0.0002079512,0.0004805895,0.0005559499,0.0002307661],"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":[0.00005471185,0.00001650864,0.0006610045,0.0009414494,0.00002523502,0.00002417197,0.00002788849,0.0002084341,0.0002236338,0.0004315366,0.9952532,0.002132195],"study_design_scores_gemma":[0.00008605629,0.00001361202,0.002397582,0.0002494352,0.00002006007,0.00004684139,0.00007739606,0.0002031016,0.0002488566,0.0007826549,0.9958516,0.00002277869],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005056109,0.00003770199,0.00003429013,0.00002796992,0.00001103669,0.000005121358,0.9989935,0.0003304148,0.0005093784],"genre_scores_gemma":[0.0001535266,0.00004484379,0.0001811643,0.00004051229,0.000003226955,0.0000317461,0.9990857,0.00009233246,0.0003670603],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8830973,"threshold_uncertainty_score":0.3910785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01315578368762547,"score_gpt":0.220859381920532,"score_spread":0.2077035982329065,"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."}}