{"id":"W6965127906","doi":"10.3535/5js-3tg-b9n","title":"Eugenia hartshornii Barrie","year":2025,"lang":"en","type":"dataset","venue":"DiSSCo","topic":"Forest Ecology and Biodiversity Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Perspective (graphical); Natural (archaeology); Work (physics)","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00007036047,0.0001852141,0.0002425076,0.0000122004,0.0004098793,0.00003382475,0.0004357568,0.0002988624,0.00263152],"category_scores_gemma":[0.00006934382,0.00006391108,0.0001281061,0.0001561067,0.0001123653,0.00003121315,0.0003123975,0.0002135067,0.000272699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001708785,"about_ca_system_score_gemma":0.00001017833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002332494,"about_ca_topic_score_gemma":0.003385323,"domain_scores_codex":[0.9991813,0.00003834669,0.0001202375,0.0003072362,0.0001103202,0.0002425461],"domain_scores_gemma":[0.999662,0.0001096112,0.00005832847,0.00007717085,0.00003664242,0.00005619203],"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":[0.00001278036,0.00004212483,0.0009037827,0.00001562333,0.00004554922,0.00001754299,0.000003165859,4.215977e-8,0.00001435568,0.00001497545,0.9981214,0.0008086615],"study_design_scores_gemma":[0.00003830995,0.00007750961,0.01653078,0.00001937792,0.00006048702,8.030479e-7,0.00004555266,9.052717e-8,0.00001326186,0.00005105464,0.9829942,0.0001685928],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00397543,0.0003248554,1.129304e-8,0.001361276,0.0005539865,0.0001246148,0.9928889,0.00003482193,0.0007361074],"genre_scores_gemma":[0.0006167425,0.0003144231,0.000002118097,0.0007975263,0.000205686,0.000009505452,0.9956453,1.012243e-7,0.002408573],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.015627,"threshold_uncertainty_score":0.9982802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01104949307300508,"score_gpt":0.2099226555713747,"score_spread":0.1988731624983697,"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."}}