{"id":"W7104401207","doi":"10.25549/browneg-ouc11399fp2t","title":"#454\\, Edmund Gerald Brown, interview w/ Canadian Broadcasting Corporation, regarding North American Common Market, 1981-02-12","year":2021,"lang":"en","type":"dataset","venue":"University of Southern California Digital Library","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Broadcasting (networking); Radio broadcasting; Work (physics)","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":[],"category_scores_codex":[0.002301673,0.001067681,0.00101989,0.004739631,0.002998315,0.003558985,0.001883417,0.002327827,0.3313603],"category_scores_gemma":[0.01327743,0.0008451652,0.0005363434,0.01256654,0.0005608083,0.002761614,0.002404635,0.002044833,0.3224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005680857,"about_ca_system_score_gemma":0.007957511,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3099685,"about_ca_topic_score_gemma":0.5306435,"domain_scores_codex":[0.9983764,0.0002405076,0.0001300181,0.0002793736,0.0006247598,0.0003491018],"domain_scores_gemma":[0.9901019,0.002321947,0.0004669643,0.0007622291,0.005588215,0.0007586875],"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":[0.000004162156,0.000001145238,0.00005400156,0.00002548365,3.172263e-7,0.000002141404,0.00001636574,0.000003585164,0.000004464852,0.00008047075,0.9993455,0.0004623998],"study_design_scores_gemma":[0.00002488752,0.000002640027,0.002779903,0.0001102781,0.000002308605,0.000006033765,0.0003401827,0.00003001235,0.00005027416,0.0001781585,0.9964659,0.000009362817],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000101612,0.00007586181,0.00007804631,0.0009959121,0.0001518094,0.00005578676,0.9878351,0.0001247872,0.01058104],"genre_scores_gemma":[0.001016537,0.0002816412,0.0003351836,0.0009913218,0.0001257146,0.0009911511,0.9049317,0.0003620159,0.09096476],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6900315,"threshold_uncertainty_score":0.9537333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01361990172795882,"score_gpt":0.1731248198313293,"score_spread":0.1595049181033705,"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."}}