{"id":"W7100026088","doi":"","title":"LAURE GIBOT MICROVASCULARISATION D&amp;apos;UN SUBSTITUT","year":2014,"lang":"en","type":"article","venue":"","topic":"Lepidoptera: Biology and Taxonomy","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Point (geometry); Molecular cell biology","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":[],"consensus_categories":[],"category_scores_codex":[0.0006498754,0.000392115,0.0004042138,0.0008736074,0.0004416957,0.001419217,0.0003027234,0.0007035456,0.01199815],"category_scores_gemma":[0.0006147979,0.0001707343,0.0003800647,0.0004605247,0.0007665845,0.000658288,0.0005223794,0.001179217,0.002619959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001241524,"about_ca_system_score_gemma":0.0006269643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002010579,"about_ca_topic_score_gemma":0.004083435,"domain_scores_codex":[0.9997659,0.00003181335,0.00001030687,0.00005518367,0.0001049467,0.00003178884],"domain_scores_gemma":[0.9997235,0.00006661073,0.00003709935,0.00002576929,0.00005581076,0.00009124277],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002065498,0.000178941,0.003346808,0.0009185654,0.00007314326,0.003910124,0.0004116509,0.000654612,0.4954033,0.02019461,0.01482806,0.4580147],"study_design_scores_gemma":[0.0002689296,0.003052006,0.01755562,0.0005684191,0.0002375472,0.01333601,0.0003744877,0.002436308,0.316069,0.005924829,0.6400952,0.00008158298],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5067556,0.1978709,0.06508701,0.02118821,0.008848676,0.0004731702,0.001132574,0.002110158,0.1965338],"genre_scores_gemma":[0.7215973,0.04675218,0.03251657,0.004589553,0.001368581,0.0001799627,0.0007112622,0.0004901753,0.1917944],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01199815,"threshold_uncertainty_score":0.04013783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02981695840760045,"score_gpt":0.2639145489370472,"score_spread":0.2340975905294468,"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."}}