{"id":"W7036080658","doi":"","title":"Applicazioni tecnico metodologiche per il miglioramento della performance riproduttiva nel cane di allevamento","year":2017,"lang":"en","type":"dissertation","venue":"UnissResearch (Università degli Studi di Sassari)","topic":"Embodied and Extended Cognition","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fertility; Artificial insemination; Breed; Natural fertility; Infertility; Culling; Reproduction; Pregnancy","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":[0.001569972,0.0007170995,0.0007123041,0.001832769,0.000336886,0.000879496,0.0006146225,0.000807362,0.004600667],"category_scores_gemma":[0.002329526,0.0002867652,0.0004549593,0.001133972,0.0002732826,0.0004532851,0.0003499302,0.0003721538,0.001393504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004507768,"about_ca_system_score_gemma":0.0005208721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002432045,"about_ca_topic_score_gemma":0.005480993,"domain_scores_codex":[0.9990471,0.0002463786,0.00004763921,0.000188003,0.0004002859,0.00007063255],"domain_scores_gemma":[0.998745,0.0005487785,0.0002280099,0.0001117419,0.0003105266,0.00005594921],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001463204,0.0008205536,0.05754665,0.001381355,0.0001407616,0.0001876677,0.0002870913,0.002604279,0.4998985,0.0003941972,0.002047161,0.4332286],"study_design_scores_gemma":[0.0001838172,0.008820899,0.300942,0.0004717519,0.0007082318,0.001798392,0.0008035201,0.0181672,0.5994806,0.0008765188,0.06750008,0.000247016],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7260575,0.0411034,0.2008753,0.001400813,0.0009413221,0.001416994,0.001760052,0.001435925,0.02500872],"genre_scores_gemma":[0.7676368,0.01543758,0.1990835,0.000595279,0.0003048076,0.0009797571,0.0009977713,0.000400568,0.01456391],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.004600667,"threshold_uncertainty_score":0.01539081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08755068429225835,"score_gpt":0.3322797689771246,"score_spread":0.2447290846848662,"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."}}