{"id":"W6945800670","doi":"10.26181/29398196","title":"<b>LG Lore</b> - Happy Birthday, IBBY-Canada","year":2000,"lang":"en","type":"article","venue":"La Trobe University","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Set (abstract data type); Identification (biology); Product (mathematics); Perspective (graphical); Work (physics)","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":[],"consensus_categories":[],"category_scores_codex":[0.00005682726,0.0001043811,0.0001032107,0.00003012145,0.00008387347,0.00001141631,0.000242575,0.00008734476,0.0006368952],"category_scores_gemma":[0.00001057271,0.0001181393,0.00008381412,0.0001132187,0.00006658057,0.000004853317,0.0000721512,0.00007602748,0.0000172362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004688662,"about_ca_system_score_gemma":0.0001056368,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04551717,"about_ca_topic_score_gemma":0.1028477,"domain_scores_codex":[0.9993628,0.00005797725,0.00006617778,0.0002553826,0.00009476557,0.0001628691],"domain_scores_gemma":[0.999521,0.000009203768,0.0000285353,0.0003346185,0.00003306901,0.00007353011],"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":[0.0004022169,0.000279545,0.0154234,0.00002794745,0.0003805221,0.0005909188,0.00008574693,0.0002377985,0.3674575,0.0007211711,0.5696394,0.0447538],"study_design_scores_gemma":[0.0002114027,0.00003799381,0.001933226,0.000003536334,0.00003356734,0.000008311459,0.00004788553,0.00004289096,0.0653147,0.00001832145,0.9321901,0.0001581175],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.845288,0.00010169,0.001382121,0.0001798306,0.00001300011,0.00008342518,0.00001684398,0.00005302319,0.152882],"genre_scores_gemma":[0.9663835,0.0003122627,0.0007355404,0.0003215625,0.00004863769,2.602774e-7,0.00006357368,0.00001088545,0.03212378],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3625506,"threshold_uncertainty_score":0.9608388,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.001704832120817253,"score_gpt":0.162541431894126,"score_spread":0.1608365997733088,"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."}}