{"id":"W6931876920","doi":"10.5441/001/1.d5d912c4","title":"Data from: Study \"Arctic hare Alert - Argos tracking\"","year":2021,"lang":"en","type":"dataset","venue":"Movebank","topic":"Psychometric Methodologies and Testing","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Habitat; Arctic; Settlement (finance); The arctic; Satellite tracking; Satellite","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.009542488,0.0005485964,0.001345938,0.0007595232,0.0002852929,0.001720507,0.009554674,0.0004183404,0.01684044],"category_scores_gemma":[0.2895418,0.0004122551,0.0002134776,0.003128598,0.0001002017,0.0005098771,0.003992348,0.001132393,0.002011575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007261911,"about_ca_system_score_gemma":0.0002301385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002122532,"about_ca_topic_score_gemma":0.0007135292,"domain_scores_codex":[0.9896995,0.00185382,0.001640913,0.00285989,0.003334421,0.0006114079],"domain_scores_gemma":[0.9403058,0.04678142,0.001124847,0.01094659,0.000600628,0.0002406851],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001504313,0.0003603025,0.01287439,0.00001454026,0.0001257276,0.000414121,0.00002764871,0.000005803157,0.000001605796,3.422079e-7,0.9693698,0.01679073],"study_design_scores_gemma":[0.0004517075,0.00008557297,0.08071324,0.00008538592,0.0001194598,0.0000117465,0.0005742803,0.00009100434,0.00000214866,0.0009276653,0.9164976,0.0004402122],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002290653,0.002165954,0.0002900315,0.0001513231,0.004654169,0.0004625061,0.9896027,0.000065393,0.0003172501],"genre_scores_gemma":[0.0005318554,0.0001371158,0.002573396,0.0006071517,0.0010997,0.00002859031,0.9936572,0.00003268557,0.001332336],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2799993,"threshold_uncertainty_score":0.9998329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7802625651926195,"score_gpt":0.5419720276820693,"score_spread":0.2382905375105502,"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."}}