{"id":"W6961099375","doi":"10.1371/journal.pone.0260543.g001","title":"Fig 1 -","year":2022,"lang":"en","type":"other","venue":"Figshare","topic":"Plant Taxonomy and Phylogenetics","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Taiga; Sampling (signal processing); Black spruce; Distance sampling; Boreal","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":[0.0006330205,0.0008987688,0.0004633004,0.002759488,0.002429877,0.001665465,0.001347503,0.0005110413,0.6964812],"category_scores_gemma":[0.002223053,0.0004405832,0.0004445736,0.004316499,0.0005692149,0.0007485396,0.0007809313,0.0007547264,0.2905598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004405397,"about_ca_system_score_gemma":0.005378305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5637612,"about_ca_topic_score_gemma":0.8497044,"domain_scores_codex":[0.9995561,0.00005811079,0.00001341339,0.00009299026,0.0001435503,0.0001356813],"domain_scores_gemma":[0.9980737,0.0002012802,0.0001222469,0.0001735612,0.001108454,0.0003208403],"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":[0.00003516752,0.00003209022,0.001885647,0.0001348189,0.000002642998,0.00003204502,0.0001052083,0.0001865778,0.0001756116,0.0008457329,0.9829175,0.01364698],"study_design_scores_gemma":[0.00009070718,0.00002738115,0.04618452,0.0001870431,0.000004944537,0.00007134199,0.0005452593,0.000355113,0.0002375489,0.0004904898,0.9517871,0.00001839953],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.004850493,0.0002087863,0.002568654,0.0005715623,0.0004351394,0.002129043,0.7565252,0.00277719,0.2299339],"genre_scores_gemma":[0.03051016,0.0003364805,0.014969,0.0007891262,0.00009113394,0.0024152,0.4051815,0.001557547,0.5441499],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5637612,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05576345747213832,"score_gpt":0.2029127877090324,"score_spread":0.1471493302368941,"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."}}