{"id":"W4380608029","doi":"10.29173/bluejay6327","title":"Wildlife '87 Gaining Momentum","year":2021,"lang":"en","type":"article","venue":"Blue Jay","topic":"Gamma-ray bursts and supernovae","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Saskatoon Medical Imaging","funders":"","keywords":"Wildlife; Geography; Momentum (technical analysis); Business; Ecology; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00006656312,0.00009958396,0.0001307598,0.00001908872,0.00008437916,0.00005925598,0.00008341472,0.00002327406,0.001816739],"category_scores_gemma":[0.000004039553,0.00009287114,0.00008464787,0.0001006177,0.00001672697,0.00006985755,0.00005507458,0.0001043093,0.0002239375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007666044,"about_ca_system_score_gemma":0.00006429981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000435647,"about_ca_topic_score_gemma":0.000002246366,"domain_scores_codex":[0.9993117,0.00002219257,0.0001315281,0.000190498,0.0001156702,0.0002283557],"domain_scores_gemma":[0.9996189,0.0000233693,0.00002693,0.0002072312,0.00004665611,0.00007689358],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006334134,0.0002323553,0.9157862,0.00001385517,0.0001500167,0.0000473879,0.001552859,0.0001137834,0.004438812,0.01406423,0.02737759,0.03621656],"study_design_scores_gemma":[0.000922446,0.00003207733,0.07567658,0.00004732845,0.00003498674,0.000003946204,0.00310591,0.0002339982,0.01226033,0.001045901,0.9062446,0.0003918523],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9577547,0.00008628617,0.001671665,0.0009131061,0.0002487484,0.00004420348,0.00001318907,0.00002729857,0.03924081],"genre_scores_gemma":[0.9878904,0.000002214655,0.0004560087,0.0003428324,0.0005603966,0.00001046764,0.00004056286,0.00001635951,0.01068076],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.878867,"threshold_uncertainty_score":0.9990957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01432202521868069,"score_gpt":0.238390970872314,"score_spread":0.2240689456536333,"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."}}