{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006981438,0.0007939999,0.0006308201,0.001179558,0.006565381,0.004052061,0.001308122,0.001148752,0.6750699],"category_scores_gemma":[0.001433775,0.0003980155,0.0006344435,0.001289918,0.0006660523,0.0008021986,0.001813855,0.001535185,0.4655028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008010342,"about_ca_system_score_gemma":0.01320978,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5754551,"about_ca_topic_score_gemma":0.8333248,"domain_scores_codex":[0.9993069,0.00002246268,0.00001012392,0.00007719364,0.0003417024,0.0002416316],"domain_scores_gemma":[0.9982007,0.00004488566,0.00002540189,0.0000796743,0.0008973803,0.0007521147],"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":[0.00005607316,0.00001947547,0.0003785153,0.00004961325,0.000002059393,0.00007921071,0.00007445019,0.00003908699,0.0006341406,0.00230961,0.9726486,0.0237091],"study_design_scores_gemma":[0.000004671525,0.00001052312,0.001129861,0.0000217916,0.00000121719,0.00003209836,0.0001165656,0.00002037063,0.0002696114,0.0001375396,0.9982477,0.000007984049],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001929571,0.0006937277,0.0008085407,0.003059331,0.002760502,0.0003067388,0.0133971,0.001956604,0.9750879],"genre_scores_gemma":[0.001273843,0.0001539024,0.0001753084,0.0001371467,0.00003245544,0.00001886914,0.001064892,0.0002378483,0.9969057],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6750699,"threshold_uncertainty_score":0.8540903,"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."}}