{"id":"W6930901235","doi":"10.5281/zenodo.3867155","title":"Thalassisobates littoralis","year":2017,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Research (Canada)","funders":"","keywords":"Mediterranean climate; Habitat; Biological dispersal; Intertidal zone; Mediterranean sea; Mediterranean Islands","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001162191,0.0006185554,0.0002478666,0.001473404,0.0005520907,0.000379878,0.0002814885,0.0002498142,0.02197168],"category_scores_gemma":[0.0003571592,0.0002053925,0.0002393032,0.001049619,0.0003834643,0.0004314228,0.0005978468,0.0002963736,0.005965928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006049469,"about_ca_system_score_gemma":0.0002439103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006940341,"about_ca_topic_score_gemma":0.01529041,"domain_scores_codex":[0.9998975,0.000008885534,0.00001011156,0.00004285381,0.00002257006,0.00001809621],"domain_scores_gemma":[0.9998531,0.0000167757,0.00006188898,0.00001127959,0.00002730606,0.0000296702],"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":[0.0003356944,0.00006871905,0.1735136,0.001219749,0.0001493217,0.0005254509,0.001388336,0.001185673,0.03739918,0.004149714,0.02019189,0.7598727],"study_design_scores_gemma":[0.00003686269,0.000162587,0.8426328,0.0001739651,0.00006571773,0.001014706,0.0006132964,0.0004793227,0.001554949,0.001739017,0.1515061,0.00002070558],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6278848,0.02162452,0.01224129,0.0008889084,0.000613019,0.0004694361,0.01834487,0.001414766,0.3165184],"genre_scores_gemma":[0.9443191,0.003711384,0.005706383,0.0003085408,0.0001323809,0.0002011715,0.008162892,0.00005950272,0.03739863],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02197168,"threshold_uncertainty_score":0.07350254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2360289313917183,"score_gpt":0.3930810454266384,"score_spread":0.1570521140349201,"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."}}