{"id":"W6924751942","doi":"10.15468/dl.vpt8x9","title":"Occurrence Download","year":2024,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Indian Economic and Social Development","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Alien","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":[0.0009935915,0.001784758,0.001488187,0.004884664,0.001079933,0.002810459,0.002821574,0.002056645,0.1512566],"category_scores_gemma":[0.006209061,0.0008535938,0.001268908,0.009782352,0.0004186328,0.002543549,0.00259335,0.002058912,0.2366915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001631644,"about_ca_system_score_gemma":0.002377145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01933453,"about_ca_topic_score_gemma":0.03347439,"domain_scores_codex":[0.9988123,0.0001671912,0.0001653186,0.000416571,0.0002525839,0.0001860815],"domain_scores_gemma":[0.997349,0.0006880414,0.0002282338,0.0007367611,0.0007198142,0.0002780591],"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":[0.00002686128,0.0000119171,0.000423666,0.0004551665,0.00001240764,0.00001475894,0.0000207732,0.0001122707,0.00009026489,0.0003770853,0.996861,0.001593907],"study_design_scores_gemma":[0.00005900826,0.000007953182,0.001701894,0.0001724209,0.00001163533,0.00003623013,0.00007517597,0.0001634738,0.0001594912,0.0007124085,0.9968855,0.00001477296],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004992175,0.00003000685,0.00005170098,0.00004479043,0.00001432638,0.000006459107,0.9986976,0.0003962143,0.0007089367],"genre_scores_gemma":[0.0001585222,0.0000370073,0.0002158904,0.00005033267,0.00000427302,0.00004392069,0.9987896,0.0001258064,0.0005746789],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8487434,"threshold_uncertainty_score":0.5060036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01922686479807772,"score_gpt":0.1929408243098097,"score_spread":0.1737139595117319,"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."}}