{"id":"W6908556100","doi":"10.26181/29398196.v1","title":"<b>LG Lore</b> - Happy Birthday, IBBY-Canada","year":2000,"lang":"en","type":"article","venue":"Open MIND","topic":"Legal case studies and regulations","field":"Social Sciences","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":[0.0008462689,0.0005469642,0.0005828122,0.001317358,0.01011544,0.004618747,0.001707917,0.003066332,0.4965382],"category_scores_gemma":[0.003662153,0.0004663873,0.0005119523,0.001778985,0.001024961,0.001068999,0.001664205,0.002526433,0.2215765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01464274,"about_ca_system_score_gemma":0.03081041,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8939384,"about_ca_topic_score_gemma":0.9627036,"domain_scores_codex":[0.9988153,0.00004584467,0.00002760973,0.00009824929,0.0005219973,0.0004909727],"domain_scores_gemma":[0.9967496,0.0002426426,0.00007032826,0.0001485756,0.002010941,0.0007778733],"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":[0.00003330532,0.00001852464,0.0003967691,0.00005512737,0.000001872014,0.0001275905,0.0001843735,0.00005374378,0.0002319924,0.006210693,0.9842844,0.008401761],"study_design_scores_gemma":[0.000007870088,0.000008749151,0.002143984,0.00005472425,0.000001613316,0.00003890038,0.0003348405,0.00003435399,0.0001487795,0.0002914989,0.9969227,0.0000118464],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001972072,0.0004963921,0.0003393152,0.004242581,0.001256975,0.0003016234,0.0131003,0.0005857416,0.9777051],"genre_scores_gemma":[0.002913526,0.0001465068,0.0001006032,0.0005394155,0.0000339363,0.0000391308,0.001114803,0.0001252251,0.9949868],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4965382,"threshold_uncertainty_score":0.7181271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03538724743304055,"score_gpt":0.3250149367061692,"score_spread":0.2896276892731286,"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."}}