{"id":"W4408823244","doi":"10.5194/oos2025-1564","title":"SeGaMas : Serious Game for Marine Mammals Survey","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Water Quality Monitoring Technologies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Survey research; Fishery; Geography; Biology; Business","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":[0.0003014579,0.0006358781,0.0003584088,0.0004163664,0.0002172743,0.0004769735,0.00134444,0.0004128916,0.006039009],"category_scores_gemma":[0.0007384592,0.0002508685,0.0005591479,0.0003082331,0.0001992661,0.0005383709,0.0009950727,0.000498012,0.001652116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005238708,"about_ca_system_score_gemma":0.0008245741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04068797,"about_ca_topic_score_gemma":0.0773911,"domain_scores_codex":[0.9998342,0.00004391265,0.000008574993,0.00003679825,0.00005646008,0.00002005237],"domain_scores_gemma":[0.9997614,0.00004805176,0.00002139221,0.00004076327,0.00005679212,0.00007155472],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001652611,0.0005064941,0.07104713,0.0006113338,0.0004160806,0.001272769,0.000927121,0.402889,0.02333602,0.01637867,0.2290584,0.2519042],"study_design_scores_gemma":[0.00009778682,0.0002723109,0.009592931,0.00004666365,0.00004634009,0.0002528372,0.0001774745,0.87457,0.003733014,0.004476047,0.1066878,0.0000469771],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2099497,0.001085571,0.5737951,0.001864312,0.0007043125,0.001537967,0.07950143,0.08476023,0.04680135],"genre_scores_gemma":[0.5853071,0.0005627479,0.3343548,0.0003523175,0.00006615972,0.0007713232,0.05637199,0.002001614,0.02021191],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04068797,"threshold_uncertainty_score":0.08090228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05448847674033839,"score_gpt":0.3070424133336389,"score_spread":0.2525539365933004,"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."}}