{"id":"W7018144837","doi":"","title":"GMO COMMENTARY","year":2016,"lang":"en","type":"other","venue":"Bioline International (Bioline International)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Government (linguistics); Natural (archaeology)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.000519435,0.001377443,0.0009435618,0.002557666,0.00009308341,0.0002307265,0.004218872,0.0008008382,0.1138233],"category_scores_gemma":[0.000441403,0.001156855,0.000754856,0.0002821788,0.0004127229,0.0003414759,0.001174083,0.000781053,0.05169141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001327834,"about_ca_system_score_gemma":0.0002003464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00149695,"about_ca_topic_score_gemma":0.0009904838,"domain_scores_codex":[0.9936251,0.0001679509,0.001603959,0.001650061,0.00209436,0.0008585755],"domain_scores_gemma":[0.9956321,0.000273069,0.001679581,0.001170922,0.0008484426,0.0003959396],"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":[0.0002527893,0.0005571814,0.001549332,0.0000227993,0.002345947,0.0001000223,0.00002038605,0.000005793344,0.001670804,0.006021874,0.9823262,0.00512688],"study_design_scores_gemma":[0.003052595,0.0000545374,0.000217263,0.0009689013,0.00009724397,0.0001221972,0.00001764774,0.0003384017,0.0009583964,0.0008981787,0.9919478,0.001326838],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00008276926,0.0008106612,0.001199142,0.0375395,0.02029785,0.0009228274,0.02567638,0.001887198,0.9115837],"genre_scores_gemma":[0.003345687,0.001649519,0.002777276,0.006779813,0.03151279,0.000250731,0.02001736,0.002553737,0.9311131],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06213185,"threshold_uncertainty_score":0.9998976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01313535672123038,"score_gpt":0.3118692264130134,"score_spread":0.298733869691783,"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."}}