{"id":"W7146193221","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 [論文内容及び審査の要旨]","year":2022,"lang":"ja","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":[0.001944439,0.0002375216,0.0002455488,0.001536272,0.002899614,0.006696041,0.0005450036,0.00107747,0.02936385],"category_scores_gemma":[0.003568477,0.0003442775,0.0002263031,0.003016829,0.002551276,0.005082375,0.000813612,0.001069008,0.009264997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002997414,"about_ca_system_score_gemma":0.007005275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05029147,"about_ca_topic_score_gemma":0.07407285,"domain_scores_codex":[0.9991738,0.0001133613,0.00006816202,0.000163887,0.0004011151,0.00007962978],"domain_scores_gemma":[0.9979608,0.000539539,0.0001856315,0.0001710438,0.0009590738,0.0001839421],"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":[0.000112277,0.00009038646,0.007804524,0.0004654354,0.0000216257,0.0002558445,0.007807515,0.0004157866,0.003265855,0.2871802,0.3051678,0.3874128],"study_design_scores_gemma":[0.00002066288,0.00002390266,0.01686929,0.0002723011,0.00003654647,0.0002948992,0.004496554,0.0004852227,0.003865892,0.05197475,0.9216164,0.00004365926],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0409931,0.01772246,0.0316282,0.04426312,0.001714785,0.0001889019,0.003669862,0.0007702131,0.8590494],"genre_scores_gemma":[0.3120369,0.03131426,0.06141011,0.004118929,0.00139658,0.0002141146,0.004379765,0.0004377819,0.5846915],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05029147,"threshold_uncertainty_score":0.09999752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01713546651583595,"score_gpt":0.2747714191314715,"score_spread":0.2576359526156355,"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."}}