{"id":"W6964080522","doi":"10.25549/thom-c41-1026","title":"Ontario Civic Center, Calif., 1980","year":2015,"lang":"en","type":"dataset","venue":"University of Southern California Digital Library","topic":"Forest Ecology and Biodiversity Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Field (mathematics); Placemaking; Object (grammar)","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":[0.0005018428,0.001561638,0.001195671,0.003619525,0.001125256,0.002305382,0.001363681,0.0006089566,0.07734475],"category_scores_gemma":[0.002369086,0.0008983034,0.0004770451,0.01171431,0.0003504464,0.000991385,0.0008608425,0.00110181,0.07754133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005842799,"about_ca_system_score_gemma":0.009028825,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6636965,"about_ca_topic_score_gemma":0.8474309,"domain_scores_codex":[0.9993987,0.00002789894,0.00005491863,0.000165979,0.0002264231,0.0001260187],"domain_scores_gemma":[0.9981788,0.0001293566,0.0002072604,0.0002300899,0.0009708428,0.0002835679],"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":[0.00002548973,0.000005628873,0.001504991,0.0001493322,0.000006876287,0.000006909233,0.00001395315,0.00006509373,0.00001244164,0.0002001131,0.9965237,0.001485514],"study_design_scores_gemma":[0.0000839245,0.000007485724,0.02884677,0.0002613516,0.00001704142,0.00002262194,0.0001459032,0.0001538341,0.0000856623,0.0002377428,0.9701232,0.00001435323],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001474438,0.00007723969,0.00001844732,0.00002535757,0.00001209522,0.000005848571,0.9967099,0.00005463801,0.002948987],"genre_scores_gemma":[0.0009229504,0.0001756231,0.0000999535,0.00001939917,0.000007643274,0.00003383934,0.993044,0.00003246842,0.00566418],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6636965,"threshold_uncertainty_score":0.6765682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01203176362648581,"score_gpt":0.1472275937846003,"score_spread":0.1351958301581145,"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."}}