{"id":"W7053337136","doi":"","title":"2018 10 19 Willy Boivin du FM 93","year":2018,"lang":"fr","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Laser Design and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Perspective (graphical); Identification (biology); Statistical analysis","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002881322,0.0006201984,0.0005828061,0.0001009822,0.0001696623,0.0001224408,0.0006185937,0.000715427,0.8960048],"category_scores_gemma":[0.0001563707,0.0006601275,0.0002683603,0.00002057185,0.0003283643,5.412513e-7,0.000123816,0.0003225959,0.3602194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002254159,"about_ca_system_score_gemma":0.00006552573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00414437,"about_ca_topic_score_gemma":0.001219144,"domain_scores_codex":[0.9975542,0.00007887664,0.001043054,0.0003128143,0.0004517399,0.0005592575],"domain_scores_gemma":[0.9980136,0.000207294,0.0004673605,0.0007214015,0.0002654938,0.0003248159],"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":[0.00004116381,0.00007394249,0.000004794093,0.0007747458,0.0001464814,0.00001207147,0.0002667576,0.002463813,0.000006181575,0.0004222147,0.9933077,0.002480208],"study_design_scores_gemma":[0.0006140995,0.0001471864,0.00002060372,0.0002888691,0.0001303729,0.0001122245,0.00006480816,0.0007695777,0.00005656064,0.00004291229,0.9970767,0.0006760092],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00009313899,0.0003770452,0.00003540383,0.0008454158,0.0008214101,0.0006869371,0.0003510058,0.000334346,0.9964553],"genre_scores_gemma":[0.0006159767,0.0004698292,0.004556014,0.0003099694,0.0009202214,0.00004341154,0.0003604359,0.0001811255,0.992543],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5357854,"threshold_uncertainty_score":0.999585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005273670875185959,"score_gpt":0.1684412078688932,"score_spread":0.1631675369937073,"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."}}