{"id":"W4238039732","doi":"10.12968/prps.2018.sup210.11","title":"Messy measuring","year":2018,"lang":"en","type":"article","venue":"Practical Pre-School","topic":"Themes in Literature Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Olds College","funders":"","keywords":"Narrative; Context (archaeology); Measure (data warehouse); Psychology; Computer science; Epistemology; Linguistics; Philosophy; History; Data mining","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003834473,0.0001573797,0.0001929768,0.00008166028,0.0003355891,0.0005184297,0.0002037333,0.00006268884,0.05662827],"category_scores_gemma":[0.00176392,0.000127319,0.0001176009,0.0000590546,0.0002907425,0.0009224358,0.0001070944,0.0003948447,0.003892253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005180062,"about_ca_system_score_gemma":0.00006603359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005846201,"about_ca_topic_score_gemma":0.000105093,"domain_scores_codex":[0.9986933,0.0001035835,0.0002703359,0.0002948915,0.0003344717,0.0003033568],"domain_scores_gemma":[0.9987604,0.0002051388,0.00009634767,0.0004556256,0.0002509154,0.0002315647],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002368783,0.0002565744,0.0004976229,0.00003947603,0.000438851,0.00004130324,0.01106127,0.000001903803,0.0005552016,0.7932864,0.1911869,0.002397543],"study_design_scores_gemma":[0.0001640321,0.00007979261,0.0002170689,0.00002196013,0.0001423602,0.0000127112,0.000374061,0.0001744184,0.0005439298,0.008609001,0.989454,0.0002066343],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01244519,0.0002153209,0.001302216,0.002817818,0.001005849,0.000156621,0.000009811895,0.0002358598,0.9818113],"genre_scores_gemma":[0.9493232,0.000005047203,0.002027267,0.001372193,0.005131694,0.00001953939,0.000005221617,0.00002833554,0.04208745],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9397238,"threshold_uncertainty_score":0.9968833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04860667448326212,"score_gpt":0.3008940973036535,"score_spread":0.2522874228203913,"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."}}