{"id":"W4405278842","doi":"10.34660/inf.2023.88.28.002","title":"ECOLOGICALLY SAFE ACOUSTIC TECHNOLOGY FOR INFLUENCING ANIMAL MICRO-OBJECTS (SPERMS, EMBRYOS)","year":2024,"lang":"en","type":"article","venue":"","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Embryo; Computer science; Environmental science; Biology; Fishery","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000127326,0.00023624,0.0002468625,0.0003286747,0.0000830746,0.00008361567,0.0002601045,0.0004667359,0.00008712327],"category_scores_gemma":[0.0001571324,0.0001874453,0.00008700343,0.0004313032,0.000127529,0.0000802928,0.0001134848,0.0002918088,0.000153964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001269333,"about_ca_system_score_gemma":0.00004322481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002782559,"about_ca_topic_score_gemma":0.0000124698,"domain_scores_codex":[0.9988364,0.000005299979,0.0002708784,0.0003295376,0.00007166829,0.0004862122],"domain_scores_gemma":[0.9995168,0.0001372927,0.00001383084,0.0002485837,0.00004533333,0.00003811216],"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":[0.000007511022,0.000007878884,0.00005656305,0.0001860339,0.0000443336,0.00004577237,0.00003827351,0.000122223,0.9664178,0.002554664,0.02283759,0.00768136],"study_design_scores_gemma":[0.0002999202,0.0003717985,0.0002533582,0.0001630139,0.0000763997,0.0002006245,0.0007225585,0.01834882,0.9277411,0.005319403,0.04587276,0.0006302807],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9454479,0.006491362,0.02983066,0.001103924,0.0006746968,0.0004807888,0.00002770586,0.01140223,0.004540714],"genre_scores_gemma":[0.9809609,0.0003889077,0.01787891,0.0001361047,0.00008141635,0.00003011812,0.000005198583,0.0000444055,0.0004740228],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03867673,"threshold_uncertainty_score":0.7643797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00885134178543032,"score_gpt":0.2227555067893852,"score_spread":0.2139041650039549,"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."}}