{"id":"W6964331305","doi":"10.25549/webster-c100-11604","title":"Ten Blocks From the White House, 1988","year":2021,"lang":"en","type":"dataset","venue":"University of Southern California Digital Library","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Commission; White (mutation); Newspaper; Economic Justice; White paper; Royal Commission","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":[0.0009350753,0.001148758,0.0008958362,0.00265218,0.00104219,0.002876688,0.001591584,0.000848827,0.06626438],"category_scores_gemma":[0.005186472,0.0006943243,0.00064268,0.0066269,0.0003003133,0.001471166,0.001690411,0.001838392,0.1375287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001429462,"about_ca_system_score_gemma":0.002975426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06757359,"about_ca_topic_score_gemma":0.1212357,"domain_scores_codex":[0.9991115,0.0001084635,0.00009559214,0.0002279442,0.0003003613,0.0001560878],"domain_scores_gemma":[0.9979997,0.0002513243,0.0002295822,0.0003678454,0.0009019197,0.000249613],"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":[0.00001783045,0.00000756169,0.0005177343,0.0000622924,0.000003957796,0.000007356007,0.000009711716,0.00003027282,0.00001036627,0.0001293602,0.9975234,0.001680182],"study_design_scores_gemma":[0.0001468408,0.00001003589,0.009697933,0.0001456567,0.00001090452,0.0000272685,0.0001149479,0.0001406787,0.0001206168,0.0004013609,0.9891717,0.00001197548],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002642827,0.0001068439,0.00005334557,0.0001375442,0.00005810599,0.00001280255,0.9975225,0.0001846374,0.00165979],"genre_scores_gemma":[0.0004699694,0.00009657697,0.0001758364,0.00005608059,0.00002205828,0.00007199957,0.9962405,0.00006909934,0.002797759],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06757359,"threshold_uncertainty_score":0.2216765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004919140904077725,"score_gpt":0.1348266508284209,"score_spread":0.1299075099243432,"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."}}