{"id":"W6931545178","doi":"10.5281/zenodo.6596076","title":"Balaenoptera acutorostrata Lacepede 1804","year":2014,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Science and Climate Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Balaenoptera; Minke whale; Subspecies; Population; Whale; Morphometrics","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":[0.00007531009,0.0006625475,0.0001873794,0.001426737,0.0005148849,0.0003625026,0.0004492201,0.0002015283,0.01362942],"category_scores_gemma":[0.0001819796,0.00009329341,0.0001460574,0.001101202,0.0001818181,0.0004779621,0.0003868444,0.0001865384,0.005954125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005328727,"about_ca_system_score_gemma":0.0001887274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04277225,"about_ca_topic_score_gemma":0.07639858,"domain_scores_codex":[0.999904,0.000006673725,0.000008748601,0.00003569254,0.0000313971,0.00001348016],"domain_scores_gemma":[0.9998647,0.00000942823,0.00005565413,0.000006278376,0.00005107086,0.00001284123],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003198826,0.0001005405,0.190195,0.00113866,0.00009339312,0.0006323553,0.0009998871,0.0003052987,0.02661184,0.001189634,0.03160188,0.7468116],"study_design_scores_gemma":[0.00001204972,0.0001613271,0.713177,0.0002354223,0.00005071632,0.0009466917,0.0009779854,0.0001393806,0.001370303,0.0002411296,0.2826767,0.00001135409],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5530006,0.05024526,0.003719765,0.0004876869,0.0008098353,0.0006661035,0.02646522,0.0008463594,0.3637591],"genre_scores_gemma":[0.8647263,0.01388881,0.006943392,0.0004253515,0.0001728655,0.0002971186,0.02215527,0.00007591201,0.09131487],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04277225,"threshold_uncertainty_score":0.08504653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02331963986108059,"score_gpt":0.2333313874669103,"score_spread":0.2100117476058297,"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."}}