{"id":"W6930083939","doi":"10.5281/zenodo.12243695","title":"refugee scholastic pdf","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Bee Products Chemical Analysis","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Circumstantial evidence; Population; Pretext; Limiting","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":["insufficient_payload"],"category_scores_codex":[0.0002738376,0.0001959462,0.0002027778,0.00008111722,0.0004888526,0.0007715493,0.001026269,0.0001708441,0.3645581],"category_scores_gemma":[0.000395157,0.00009209425,0.0001016293,0.0008437626,0.0001227875,0.00006328629,0.001048618,0.0004207128,0.2924891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006698677,"about_ca_system_score_gemma":6.952997e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003795353,"about_ca_topic_score_gemma":0.000002935462,"domain_scores_codex":[0.9983507,0.0001413129,0.0001861744,0.000651415,0.0003507709,0.0003196439],"domain_scores_gemma":[0.999396,0.00001525847,0.00009410094,0.0001829759,0.0001472875,0.0001644122],"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":[0.000005324121,0.00004161405,1.529742e-7,0.00005363545,0.00005826106,0.000008121145,0.00001570852,2.269219e-7,0.0184949,0.0003029346,0.9146886,0.06633055],"study_design_scores_gemma":[0.00004523527,0.00006916609,0.00001738258,0.00009092492,0.00004695907,0.0000228876,0.00002683984,0.000009225614,0.0002788188,0.0002912773,0.9988931,0.0002082217],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006052948,0.0007230574,0.00001114412,0.001527631,0.0001341237,0.0002257101,0.0003791667,0.001535046,0.9948588],"genre_scores_gemma":[0.009116728,0.0001873398,0.00008428572,0.0001521122,0.001278168,3.825613e-8,0.003694521,0.000938919,0.9845479],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08420449,"threshold_uncertainty_score":0.7440068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02601857973076135,"score_gpt":0.2204064779795312,"score_spread":0.1943878982487698,"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."}}