{"id":"W4398301064","doi":"10.7910/dvn/fmk6sq/bhbbmy","title":"agreement_results1.rtf","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Reliability and Agreement in Measurement","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Methylene blue; Lymph; Staining; Degree (music); Methylene; Pathology; Medicine; Chemistry; Medicinal chemistry; Organic chemistry; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.004137656,0.0006358089,0.0009900184,0.0003495459,0.0002705915,0.0009125327,0.004893061,0.0003758626,0.1279621],"category_scores_gemma":[0.00848715,0.0004495233,0.0004693188,0.0007505934,0.0002178449,0.0005363407,0.001718303,0.0008235783,0.7630541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001551347,"about_ca_system_score_gemma":0.0002030645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001557993,"about_ca_topic_score_gemma":0.0002180714,"domain_scores_codex":[0.9894438,0.0006004262,0.001696286,0.001769405,0.00588154,0.0006085879],"domain_scores_gemma":[0.9931452,0.0008114883,0.0008472427,0.004327165,0.0003865815,0.000482372],"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":[0.00008503475,0.0001756188,0.00003395516,0.00005161546,0.00008535568,0.0001058086,0.00002358365,0.00001890617,0.00002690644,0.00002796577,0.9978875,0.001477743],"study_design_scores_gemma":[0.0005867617,0.0001504492,0.00008043122,0.00006635354,0.0001217762,0.000003799556,0.0001461589,0.00003456033,0.00004344397,0.0007222542,0.9975346,0.0005094616],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001478519,0.000002020934,0.0001261114,0.0002319062,0.001888043,0.0006567875,0.9955525,0.00005835081,0.001469515],"genre_scores_gemma":[0.00001547404,0.0003627011,0.0002126976,0.002359989,0.0007015984,0.0000377012,0.9948275,0.00001667668,0.001465679],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.635092,"threshold_uncertainty_score":0.9998648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1269183637960445,"score_gpt":0.3431787049445279,"score_spread":0.2162603411484834,"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."}}