{"id":"W7082661389","doi":"10.24431/ax1k9m8lnt","title":"Data for R0303","year":2025,"lang":"en","type":"dataset","venue":"Axiom Data Science","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Peninsula; Bay; Stock (firearms); Pacific ocean; Distribution (mathematics); Oncorhynchus; Sea surface temperature","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":["insufficient_payload"],"category_scores_codex":[0.004133911,0.001739694,0.002198156,0.003510372,0.002315051,0.004930709,0.004632474,0.003276866,0.8288914],"category_scores_gemma":[0.0132104,0.001316641,0.001092236,0.006196213,0.0007976529,0.003561993,0.004108474,0.001973524,0.8115111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001056605,"about_ca_system_score_gemma":0.003704557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006047407,"about_ca_topic_score_gemma":0.006887801,"domain_scores_codex":[0.9966727,0.0004880832,0.0003164469,0.0009882705,0.00104194,0.0004924556],"domain_scores_gemma":[0.9937701,0.001308753,0.0004245015,0.001983467,0.001683268,0.0008299755],"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":[0.00009477894,0.00003347094,0.0006426813,0.0003420461,0.00001574716,0.00005907298,0.00005662625,0.00009341923,0.00047922,0.002399785,0.9746515,0.02113173],"study_design_scores_gemma":[0.00006770925,0.0000224667,0.001172886,0.0001711089,0.00001299601,0.00008675273,0.00005744536,0.0002317511,0.0004567941,0.002307374,0.9953918,0.00002094786],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009522055,0.0004349896,0.005566253,0.002266263,0.002091166,0.0003130383,0.8020231,0.01820997,0.168143],"genre_scores_gemma":[0.007499068,0.0006447561,0.009417117,0.002498372,0.0004323864,0.0008905847,0.7997767,0.01366999,0.165171],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1711086,"threshold_uncertainty_score":0.2440656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08853713870227764,"score_gpt":0.3424644076702477,"score_spread":0.25392726896797,"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."}}