{"id":"W6964008991","doi":"10.25446/oxford.25012994","title":"4520: Orilux Torch","year":2024,"lang":"en","type":"other","venue":"University of Oxford","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Officer; Torch; Field (mathematics); Table (database)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00006805639,0.0001961745,0.000304075,0.0005614198,0.00002265963,0.000007733241,0.0004392482,0.0002894789,0.02509043],"category_scores_gemma":[0.000007088446,0.0002420764,0.00016993,0.0002788399,0.0001642707,0.00003523572,0.0002107717,0.000216376,0.02239724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001462502,"about_ca_system_score_gemma":0.00009218347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001671812,"about_ca_topic_score_gemma":0.001300834,"domain_scores_codex":[0.9991363,0.00002586076,0.00006407846,0.0003185436,0.0002577547,0.000197435],"domain_scores_gemma":[0.9993513,0.000009941766,0.0001246989,0.0004024085,0.00003227344,0.00007935531],"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":[0.00002215695,0.00002475689,0.00005938146,0.0001874915,0.0001966438,0.0001234485,0.0002395291,4.700382e-7,0.0000374795,0.003217257,0.9955534,0.0003380054],"study_design_scores_gemma":[0.0002552041,0.0000322556,0.0000243605,0.0002823955,0.0001792745,0.000002705531,0.0004301512,0.000006260038,0.000009329863,0.0001255888,0.9984298,0.0002226605],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00007606189,0.000522545,0.00006528196,0.00003880362,0.0004171973,0.0001543939,0.0006780077,0.0005235488,0.9975241],"genre_scores_gemma":[0.0003738664,0.0001447502,0.001142103,0.000006506903,0.0001483377,2.794944e-8,0.00005803103,0.0006006984,0.9975257],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.003091668,"threshold_uncertainty_score":0.9871588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01254831681851716,"score_gpt":0.2117379392556349,"score_spread":0.1991896224371178,"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."}}