{"id":"W7030504884","doi":"","title":"Non-invasive in-ovo sexing of chicken eggs using Raman spectroscopy and hyperspectral imaging","year":2022,"lang":"en","type":"other","venue":"Socio-Environmental Systems Modeling","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hatch (Canada)","funders":"","keywords":"Sexing; Hyperspectral imaging; Culling; Digital imaging; Radiomics; Raman spectroscopy","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":[0.0006394193,0.0006953047,0.0003169088,0.0009207586,0.0002335218,0.0006255309,0.0005097183,0.0006652783,0.001009213],"category_scores_gemma":[0.0006111134,0.0003850701,0.0005929187,0.0004427124,0.0004838666,0.0007131685,0.0006679005,0.0007498151,0.0005186499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002581688,"about_ca_system_score_gemma":0.0003284496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006707135,"about_ca_topic_score_gemma":0.002078843,"domain_scores_codex":[0.9993648,0.00006913497,0.00002362443,0.0001864897,0.0002988461,0.00005725],"domain_scores_gemma":[0.9994786,0.0001176519,0.0001784836,0.00007026899,0.0001221901,0.00003274225],"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":[0.0001134452,0.00006560617,0.002668569,0.0006108334,0.00003718224,0.0001621387,0.0001923193,0.0004487117,0.9285634,0.0007459703,0.0003839333,0.06600783],"study_design_scores_gemma":[0.0000131522,0.000569134,0.0181005,0.0001079596,0.00007565488,0.0009320764,0.000356666,0.01248796,0.9546599,0.0007190666,0.0118803,0.00009747269],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6338629,0.0249986,0.3207227,0.0005864794,0.0004894169,0.0005714201,0.001105882,0.00142516,0.01623745],"genre_scores_gemma":[0.6966602,0.01526405,0.2733472,0.000520664,0.0001486397,0.0003597306,0.0009752782,0.0002250146,0.01249923],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001009213,"threshold_uncertainty_score":0.00338161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01249572157791277,"score_gpt":0.2480984551223597,"score_spread":0.2356027335444469,"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."}}