{"id":"W6960518146","doi":"10.1371/journal.pone.0108915.g001","title":"Map of the geographic range and collection sites for egg masses of four amphibian hosts.","year":2016,"lang":"en","type":"other","venue":"Figshare","topic":"Wheat and Barley Genetics and Pathology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Range (aeronautics); Amphibian; Zoogeography","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":[0.00009768782,0.0003958568,0.0001598292,0.002402797,0.0003819624,0.0003310611,0.0002988011,0.0001713309,0.03902122],"category_scores_gemma":[0.0004954684,0.0001922297,0.0002102813,0.003109845,0.0002555065,0.0002209762,0.0003347037,0.0004595194,0.008899175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009320963,"about_ca_system_score_gemma":0.001970924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.308445,"about_ca_topic_score_gemma":0.5322194,"domain_scores_codex":[0.9998932,0.00001061005,0.00000460174,0.00003300135,0.00003452388,0.00002393976],"domain_scores_gemma":[0.9994748,0.0000502461,0.0000749527,0.00003032276,0.0002800368,0.00008963454],"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":[0.0005412652,0.000123816,0.07094142,0.001046892,0.00009229768,0.0004442702,0.001428642,0.00306985,0.008009763,0.003146779,0.8248883,0.08626673],"study_design_scores_gemma":[0.00008052291,0.00006542566,0.5977539,0.0002896016,0.00004330847,0.000336305,0.001878932,0.001450927,0.0008100372,0.0003747423,0.3968763,0.00003998025],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.08451927,0.0008004474,0.002734859,0.0004193255,0.0002617034,0.0004871075,0.809349,0.001005659,0.1004226],"genre_scores_gemma":[0.3220613,0.00121045,0.02537113,0.0001430882,0.00006822513,0.0007274398,0.5725169,0.0002889486,0.07761248],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.308445,"threshold_uncertainty_score":0.6132993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03429786311890537,"score_gpt":0.2290922970823862,"score_spread":0.1947944339634809,"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."}}