{"id":"W6906730945","doi":"10.17632/xvgw97y39h","title":"Mold Problem In Toronto - Mold Removal 2021","year":2021,"lang":"en","type":"dataset","venue":"Mendeley Data","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mold; Courtesy; Checklist; Set (abstract data type); Doors","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":["metaepi_narrow","open_science","insufficient_payload"],"consensus_categories":["open_science","insufficient_payload"],"category_scores_codex":[0.00227667,0.001139437,0.001472329,0.000284019,0.0001093145,0.0003684058,0.006562094,0.0009086005,0.02056703],"category_scores_gemma":[0.0005896118,0.001237934,0.0001353566,0.000821638,0.0001028531,0.001601406,0.008126006,0.001497147,0.009917583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002294714,"about_ca_system_score_gemma":0.001188953,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.07058325,"about_ca_topic_score_gemma":0.279465,"domain_scores_codex":[0.9916133,0.0006976581,0.001379969,0.003226599,0.001653703,0.001428733],"domain_scores_gemma":[0.9846214,0.0001356304,0.0005736672,0.01414921,0.0001479381,0.0003721603],"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":[0.00007064545,0.0005425785,0.000005497499,0.000342806,0.0002276048,0.003848384,0.00001838569,0.000008865678,0.0001930758,0.0000222559,0.9931764,0.001543507],"study_design_scores_gemma":[0.001059128,0.00004580384,0.00001398904,0.0007854802,0.0002506488,0.0002918535,0.0001953076,0.0001995808,0.00003215069,0.00004299588,0.9958415,0.001241538],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00000900822,0.01029289,0.000003779043,0.0001181577,0.0007443787,0.0009894884,0.9847109,0.00009372456,0.003037668],"genre_scores_gemma":[0.000001840047,0.003277166,0.004976742,0.0002133095,0.0008749425,0.0001330915,0.9888255,0.0002755026,0.001421878],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2088818,"threshold_uncertainty_score":0.9998961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05575998563857434,"score_gpt":0.334455289693826,"score_spread":0.2786953040552517,"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."}}