{"id":"W2769871222","doi":"10.12968/prps.2017.sup203.13","title":"‘Can't catch me’!","year":2017,"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":"Recipe; Session (web analytics); Computer science; Visual arts; History; Art; World Wide Web; Archaeology","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":["scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003168714,0.0001826939,0.0002453635,0.00005438654,0.0009619623,0.001839834,0.0005010629,0.00008279421,0.02162281],"category_scores_gemma":[0.003249842,0.0001471696,0.0001581873,0.00001566828,0.0003159018,0.00121219,0.0002105085,0.0005497766,0.001678849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005064613,"about_ca_system_score_gemma":0.00007713416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003185963,"about_ca_topic_score_gemma":0.0003109838,"domain_scores_codex":[0.998694,0.00007465304,0.0002683164,0.0003291122,0.0003123617,0.0003215601],"domain_scores_gemma":[0.9979339,0.0002035464,0.0002279999,0.001195352,0.0001564117,0.0002827577],"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":[0.0001218062,0.0002246657,0.001454804,0.00003540239,0.0003489573,0.00008163064,0.006166574,0.000002108893,0.0001376067,0.7987287,0.1910015,0.001696242],"study_design_scores_gemma":[0.000247679,0.00004827249,0.001263386,0.00001985088,0.0002063351,0.00001281842,0.0004125407,0.0001305886,0.000128727,0.02900382,0.9682683,0.0002576432],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0127168,0.0002065866,0.0002117169,0.03203169,0.001255741,0.0002345259,0.00004727042,0.0001639762,0.9531317],"genre_scores_gemma":[0.901943,0.00001454566,0.0009762699,0.001296455,0.002409846,0.00002854562,0.00001227211,0.00002756659,0.09329149],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8892262,"threshold_uncertainty_score":0.9991964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03634977373083161,"score_gpt":0.3179145334955206,"score_spread":0.281564759764689,"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."}}