{"id":"W6889230095","doi":"10.25549/examiner-m1920","title":"Dry cleaning law, 1951","year":2013,"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":"Dry cleaning; Stage (stratigraphy); Contamination","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":[0.0009634129,0.002841254,0.001370205,0.004146102,0.001222956,0.003329968,0.002829849,0.00224344,0.09934571],"category_scores_gemma":[0.005154339,0.0008678215,0.001410759,0.00666421,0.0005513193,0.002542869,0.00231927,0.002147349,0.2190379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002460123,"about_ca_system_score_gemma":0.003329065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06809458,"about_ca_topic_score_gemma":0.1679726,"domain_scores_codex":[0.9988675,0.0001378986,0.0001263772,0.0002671364,0.0003611338,0.0002399666],"domain_scores_gemma":[0.9980084,0.0002473503,0.000166953,0.0005202076,0.0008843828,0.0001726192],"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":[0.00002151132,0.000007307386,0.0001871216,0.000132529,0.000005056608,0.000005011862,0.000005383778,0.00003981235,0.00002655592,0.0001028117,0.9978737,0.001593163],"study_design_scores_gemma":[0.00008943697,0.00001300406,0.003393107,0.0002187186,0.0000123093,0.00005475949,0.00007634033,0.0002393238,0.0002875641,0.0006671702,0.9949254,0.00002279728],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001168343,0.0001398434,0.00007042517,0.0001118304,0.00006110003,0.00001132942,0.996855,0.0008456757,0.001787852],"genre_scores_gemma":[0.0003072913,0.00009461,0.0002533854,0.00006064738,0.00001244743,0.0000317274,0.9972085,0.0001699523,0.001861324],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09934571,"threshold_uncertainty_score":0.3323445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0077563666078201,"score_gpt":0.1565341215000065,"score_spread":0.1487777548921864,"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."}}