{"id":"W6962321356","doi":"10.15468/dl.r9mpx2","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Set (abstract data type); Data set","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":[0.001041404,0.001912916,0.001651824,0.005296172,0.0009288373,0.002488908,0.002729101,0.002018828,0.1540678],"category_scores_gemma":[0.006390782,0.0009014102,0.001190657,0.01046244,0.0004329568,0.002225529,0.002444646,0.001931794,0.2034384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001499259,"about_ca_system_score_gemma":0.002258894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01921841,"about_ca_topic_score_gemma":0.03119362,"domain_scores_codex":[0.9988894,0.0001534827,0.0001549898,0.0003803836,0.0002429057,0.0001787788],"domain_scores_gemma":[0.9973376,0.0007767753,0.00025654,0.0006701982,0.0006616054,0.000297203],"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":[0.00003405021,0.00001249816,0.0004410139,0.0006536247,0.00001778025,0.00001711858,0.00002385226,0.000147669,0.0001321787,0.00039494,0.9966028,0.001522438],"study_design_scores_gemma":[0.0000855313,0.000009625237,0.00217524,0.0002246108,0.00001670333,0.00003996336,0.00007354579,0.0001575331,0.0001913817,0.0007909429,0.996216,0.00001891931],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004038273,0.00002643857,0.00003774124,0.0000313932,0.00001035984,0.000005107941,0.9990507,0.0002886818,0.0005092974],"genre_scores_gemma":[0.0001604769,0.0000334042,0.0001741673,0.00004094688,0.000003506248,0.00004210068,0.9990416,0.0001156385,0.0003881777],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8459321,"threshold_uncertainty_score":0.5154083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}