{"id":"W7145107190","doi":"","title":"海草コアマモの在来集団と移入集団の間における季節性、形質、葉上動物群集の変異 [全文の要約]","year":2022,"lang":"en","type":"dissertation","venue":"Institutional Repositories DataBase (IRDB)","topic":"Educational Robotics and Engineering","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Identification (biology); Natural (archaeology)","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":[0.001916688,0.0002635236,0.0002529535,0.001473139,0.002762957,0.006285686,0.0005581229,0.001016888,0.02838152],"category_scores_gemma":[0.00380819,0.0003835699,0.0002627716,0.002515002,0.002813037,0.004394829,0.0009236082,0.00120715,0.009840587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003248133,"about_ca_system_score_gemma":0.006715418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06290476,"about_ca_topic_score_gemma":0.09679525,"domain_scores_codex":[0.9989589,0.0001263207,0.0000784014,0.0002245264,0.0005128332,0.00009904572],"domain_scores_gemma":[0.9977614,0.0004833256,0.000194231,0.0002018426,0.001149562,0.0002096252],"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":[0.0001611334,0.0001139242,0.01158198,0.0005427834,0.00003291451,0.0004576255,0.008263525,0.0005842334,0.00712661,0.2610828,0.2293893,0.4806631],"study_design_scores_gemma":[0.00002637247,0.00003971641,0.02462365,0.0002902584,0.00005228271,0.0005115833,0.005210271,0.0007178601,0.00794558,0.05726428,0.9032525,0.00006566057],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05006052,0.01410412,0.046106,0.0311557,0.001813281,0.0002494724,0.003581792,0.001014779,0.8519142],"genre_scores_gemma":[0.3815184,0.02289257,0.08305918,0.003807594,0.001288994,0.0002244417,0.003693386,0.0004794212,0.503036],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06290476,"threshold_uncertainty_score":0.1250772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01211553396142251,"score_gpt":0.2642657279752865,"score_spread":0.252150194013864,"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."}}