{"id":"W7057066456","doi":"","title":"Ilmastoviisaat ruokintaratkaisut Suomen maidontuotannossa : IRMA-hankkeen loppuraportti","year":2025,"lang":"fi","type":"other","venue":"Jukuri (Luonnonvarakeskus Tietopalvelu)","topic":"Magnetic Field Sensors Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Value (mathematics); Work (physics); Quarter (Canadian coin)","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":[0.001001328,0.0004751669,0.00045493,0.0005037378,0.0009276107,0.002683903,0.0004895243,0.001104541,0.06484077],"category_scores_gemma":[0.0006014769,0.000219399,0.000427122,0.000549962,0.0005463465,0.001170002,0.001812644,0.001495575,0.02037243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001675969,"about_ca_system_score_gemma":0.004807284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005313697,"about_ca_topic_score_gemma":0.0121999,"domain_scores_codex":[0.99932,0.00004702561,0.00003720482,0.0001532746,0.0003215226,0.0001209454],"domain_scores_gemma":[0.9993782,0.00004145146,0.00006459741,0.00003545893,0.0002486981,0.0002315547],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002640712,0.0007221718,0.008406703,0.002366029,0.00008249017,0.001306887,0.002994034,0.0003833848,0.229068,0.01600341,0.09678391,0.6392423],"study_design_scores_gemma":[0.00002835451,0.0002548457,0.005286282,0.0001565469,0.00002854933,0.0003120461,0.0004989772,0.00007797872,0.01966893,0.0004528461,0.9732175,0.00001718614],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.2515232,0.07523967,0.01709116,0.01792248,0.01113382,0.001057934,0.006931698,0.001778535,0.6173215],"genre_scores_gemma":[0.1611175,0.02064754,0.01060975,0.001505567,0.0005374106,0.0003441678,0.00414978,0.0005569097,0.8005314],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06484077,"threshold_uncertainty_score":0.2169139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006931335020503628,"score_gpt":0.2193784023076604,"score_spread":0.2124470672871568,"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."}}