{"id":"W3004189244","doi":"10.22148/001c.11824","title":"Send us your null results","year":2020,"lang":"en","type":"article","venue":"Journal of Cultural Analytics","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Replication (statistics); Null (SQL); Null hypothesis; Code (set theory); Statistical power; Econometrics; Computer science; Power (physics); Statistics; Data science; Mathematics; Data mining; Physics; Programming language","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","bibliometrics","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.007722533,0.0001307671,0.0004346811,0.008206807,0.0001291892,0.001830486,0.001992375,0.00008524578,0.0002628661],"category_scores_gemma":[0.05548702,0.00006681694,0.0003939107,0.07469781,0.00009722919,0.0008291748,0.0002901918,0.000496115,0.0003074256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000749528,"about_ca_system_score_gemma":0.000158647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009514587,"about_ca_topic_score_gemma":0.000002722698,"domain_scores_codex":[0.9896458,0.0001397065,0.001424123,0.0002794054,0.008152626,0.0003582789],"domain_scores_gemma":[0.9899043,0.00106521,0.001003656,0.0002484028,0.006899689,0.0008787613],"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":[0.0005385134,0.00021053,0.03997182,0.00001098008,0.0001807652,0.0006418949,0.002077836,0.004386955,0.005261688,0.0004747619,0.8962834,0.04996087],"study_design_scores_gemma":[0.002612688,0.001540421,0.06370868,0.0000249829,0.00007808473,0.0002941995,0.005124151,0.04310806,0.002844119,0.003236344,0.8770221,0.0004061871],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9484224,0.0008971519,0.002469895,0.03564407,0.0007416254,0.00008507063,0.00005885128,0.00001170471,0.01166919],"genre_scores_gemma":[0.9936398,0.0003553295,0.001893845,0.0008328196,0.0006952384,9.709656e-8,0.000001319056,0.000005490481,0.002576072],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.066491,"threshold_uncertainty_score":0.9992057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7901292379649458,"score_gpt":0.6004316014343586,"score_spread":0.1896976365305872,"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."}}