{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005734819,0.0005614404,0.0002607639,0.0005198388,0.000787875,0.001134221,0.0007983951,0.0007169686,0.01594188],"category_scores_gemma":[0.000734118,0.0003675782,0.0003659371,0.0002903017,0.000682261,0.0007252072,0.00167946,0.0009044287,0.009473033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005104617,"about_ca_system_score_gemma":0.0009741515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001063289,"about_ca_topic_score_gemma":0.002605834,"domain_scores_codex":[0.9995221,0.00004396825,0.00001902697,0.0001001403,0.0002584623,0.0000563218],"domain_scores_gemma":[0.9997436,0.00004209653,0.00004224271,0.00004842934,0.00009315319,0.00003049159],"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":[0.00009668208,0.00005926368,0.0009533964,0.0004056969,0.0000209403,0.0001760262,0.0002426219,0.0004320813,0.8739166,0.01966554,0.0179646,0.08606661],"study_design_scores_gemma":[0.00002381784,0.0001724855,0.001405178,0.00006891494,0.00003828976,0.0004483839,0.0001678852,0.002555778,0.7721922,0.001910551,0.2209687,0.00004772561],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1219384,0.007916634,0.601766,0.004694529,0.005671165,0.00103918,0.003081518,0.0120045,0.2418881],"genre_scores_gemma":[0.4479161,0.007148619,0.2744038,0.002843014,0.0004057257,0.00126413,0.002077524,0.001189353,0.2627517],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01594188,"threshold_uncertainty_score":0.05333096,"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."}}