{"id":"W4398837123","doi":"10.7910/dvn/udgofr/uwf7cn","title":"Replication_code_PSLE_Riambau_Ostwald.do","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 British Columbia","funders":"","keywords":"Replication (statistics); Face (sociological concept); Code (set theory); Placebo; Computer science; Sociology; Biology; Programming language; Virology; Medicine; Social science; Alternative medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006390355,0.001793279,0.001458093,0.004866031,0.00139656,0.004799438,0.004881846,0.002185404,0.4018844],"category_scores_gemma":[0.05402807,0.001430008,0.001567228,0.008246133,0.0008615831,0.002830447,0.003911508,0.002133431,0.253714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001750938,"about_ca_system_score_gemma":0.004515424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02649349,"about_ca_topic_score_gemma":0.03394654,"domain_scores_codex":[0.9964031,0.00121625,0.0004276402,0.0008790835,0.0006365838,0.0004373779],"domain_scores_gemma":[0.9769159,0.009277991,0.001411649,0.007149105,0.00406856,0.001176732],"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":[0.0000494481,0.0000123048,0.0008675242,0.0003742361,0.00003359126,0.000005976978,0.00003413046,0.00009023672,0.00001974692,0.001019262,0.995059,0.002434525],"study_design_scores_gemma":[0.0005217075,0.00002152432,0.004076734,0.0006742118,0.00005604937,0.00003194279,0.00009351478,0.0003242084,0.0002269842,0.005119909,0.9887989,0.0000542648],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.0000753397,0.00003286762,0.0002645571,0.0001733642,0.00004894319,0.00003240969,0.9968809,0.0007579241,0.001733697],"genre_scores_gemma":[0.00151711,0.00009183188,0.001524247,0.0002400828,0.00004434842,0.0008913681,0.9910739,0.001106596,0.003510662],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.4018844,"threshold_uncertainty_score":0.8531393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1366632802501328,"score_gpt":0.3571392483982541,"score_spread":0.2204759681481213,"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."}}